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Cloud-Based Benchmarking of Medical Image Analysis [[electronic resource] /] / edited by Allan Hanbury, Henning Müller, Georg Langs
| Cloud-Based Benchmarking of Medical Image Analysis [[electronic resource] /] / edited by Allan Hanbury, Henning Müller, Georg Langs |
| Autore | Georg Langs |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Springer Nature, 2017 |
| Descrizione fisica | 1 online resource (XVIII, 254 p. 93 illus., 39 illus. in color.) |
| Disciplina | 502.85 |
| Soggetto topico |
Health informatics
Optical data processing Computer system failures Health Informatics Image Processing and Computer Vision System Performance and Evaluation |
| Soggetto non controllato | Medical imaging |
| ISBN | 3-319-49644-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | VISCERAL: Evaluation-as-a-Service for Medical Imaging -- Using the Cloud as a Platform for Evaluation and Data Preparation -- Ethical and Privacy Aspects of Using Medical Image Data -- Annotating Medical Image Data -- Datasets created in VISCERAL -- Evaluation Metrics for Medical Organ Segmentation and Lesion Detection -- VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localisation: Tasks and Results -- Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark -- Automatic Atlas-Free Multi-Organ Segmentation of Contrast-Enhanced CT Scans -- Multi-organ Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information -- Automatic Multi-organ Segmentation using Hierarchically-Registered Probabilistic Atlases -- Multi-Atlas Segmentation Using Robust Feature-Based Registration -- Combining Radiology Images and Clinical Meta-data for Multimodal Medical Case-based Retrieval -- Text and Content-based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. |
| Record Nr. | UNINA-9910220007403321 |
Georg Langs
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| Springer Nature, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cloud-Based Benchmarking of Medical Image Analysis
| Cloud-Based Benchmarking of Medical Image Analysis |
| Pubbl/distr/stampa | Springer Cham |
| Altri autori (Persone) |
LangsGeorg
MüllerHenning HanburyAllan |
| ISBN | 3-319-49644-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910846990103321 |
| Springer Cham | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 129 p. 30 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Application software Mathematical statistics Data mining Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-45174-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Networks and Decoding -- Multi-Task Learning for Interpretation of Brain Decoding Models -- The New Graph Kernels on Connectivity Networks for Identification of MCI -- Mapping Tractography Across Subjects -- Speech -- Automated speech analysis for psychosis evaluation -- Combining different modalities in classifying phonological categories -- Clinics and cognition -- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease -- Leveraging Clinical Data to Enhance Localization of Brain Atrophy -- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization -- Causality and time-series -- Classification-based Causality Detection in Time Series -- Fast and Improved SLEX Analysis of High-dimensional Time Series -- Best paper awards: MLINI 2013 -- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis -- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections -- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. . |
| Record Nr. | UNISA-996465642103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers / / edited by Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 129 p. 30 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Application software Mathematical statistics Data mining Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-319-45174-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Networks and Decoding -- Multi-Task Learning for Interpretation of Brain Decoding Models -- The New Graph Kernels on Connectivity Networks for Identification of MCI -- Mapping Tractography Across Subjects -- Speech -- Automated speech analysis for psychosis evaluation -- Combining different modalities in classifying phonological categories -- Clinics and cognition -- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease -- Leveraging Clinical Data to Enhance Localization of Brain Atrophy -- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization -- Causality and time-series -- Classification-based Causality Detection in Time Series -- Fast and Improved SLEX Analysis of High-dimensional Time Series -- Best paper awards: MLINI 2013 -- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis -- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections -- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes. . |
| Record Nr. | UNINA-9910483840303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions / / edited by Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy
| Machine Learning and Interpretation in Neuroimaging [[electronic resource] ] : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions / / edited by Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brian Murphy |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 266 p. 83 illus.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Optical data processing
Pattern recognition Data mining Mathematical statistics Application software Computer Imaging, Vision, Pattern Recognition and Graphics Pattern Recognition Data Mining and Knowledge Discovery Probability and Statistics in Computer Science Image Processing and Computer Vision Computer Applications |
| ISBN | 3-642-34713-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding -- Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify -- Searchlight Based Feature Extraction -- Looking Outside the Searchlight -- Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres -- Induction in Neuroscience with Classification: Issues and Solutions -- A New Feature Selection Method Based on Stability Theory – Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data -- Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection -- Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain -- Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI -- Modality Neutral Techniques for Brain Image Understanding -- How Does the Brain Represent Visual Scenes? A Neuromagnetic Scene Categorization Study -- Finding Consistencies in MEG Responses to Repeated Natural Speech -- Categorized EEG Neurofeedback Performance Unveils Simultaneous fMRI Deep Brain Activation -- Predicting Clinically Definite Multiple Sclerosis from Onset Using SVM -- MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials -- Pairwise Analysis for Longitudinal fMRI Studies -- Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information -- The Dynamic Beamformer -- Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing -- The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques -- Statistical Learning for Resting-State fMRI: Successes and Challenges -- Relating Brain Functional Connectivity to Anatomical Connections: Model Selection -- Information-Theoretic Connectivity-Based Cortex Parcellation -- Inferring Brain Networks through Graphical Models with Hidden Variables -- Pitfalls in EEG-Based Brain Effective Connectivity Analysis -- Data-Driven Modeling of BOLD Drug Response Curves Using Gaussian Process Learning -- Variational Bayesian Learning of Sparse Representations and Its Application in Functional Neuroimaging -- Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling -- A Latent Feature Analysis of the Neural Representation of Conceptual Knowledge -- Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box -- Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. |
| Record Nr. | UNISA-996466318403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical Computer Vision [[electronic resource] ] : Recognition Techniques and Applications in Medical Imaging / / edited by Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi
| Medical Computer Vision [[electronic resource] ] : Recognition Techniques and Applications in Medical Imaging / / edited by Bjoern Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XI, 226 p. 100 illus., 80 illus. in color.) |
| Disciplina |
006.6
006.37 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Image Processing and Computer Vision Artificial Intelligence |
| ISBN | 3-642-18421-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Shape, geometry and registration -- Markov models for image reconstruction and analysis -- Automatic anatomy localization via classification -- Texture analysis -- Segmentation. |
| Record Nr. | UNISA-996465579303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging [[electronic resource] ] : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers / / edited by Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens
| Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging [[electronic resource] ] : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers / / edited by Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 222 p. 75 illus.) |
| Disciplina | 610.28 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Mathematical statistics Computer science—Mathematics Pattern recognition Image Processing and Computer Vision Health Informatics Artificial Intelligence Probability and Statistics in Computer Science Math Applications in Computer Science Pattern Recognition |
| ISBN | 3-319-61188-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases -- BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases -- LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images -- Landmark-based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images -- Inferring Disease Status by non-Parametric Probabilistic Embedding -- A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images -- Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study -- Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker -- Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation -- Automatic Detection of Histological Artifacts in Mouse Brain Slice Images -- Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features -- Representation Learning for Cross-Modality Classification -- Guideline-based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound -- A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images -- Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data -- Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields -- Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI data -- Non-local Graph-based Regularization for Deformable Image Registration -- Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. . |
| Record Nr. | UNINA-9910483568703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging [[electronic resource] ] : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers / / edited by Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens
| Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging [[electronic resource] ] : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers / / edited by Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 222 p. 75 illus.) |
| Disciplina | 610.28 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Health informatics Artificial intelligence Mathematical statistics Computer science—Mathematics Pattern recognition Image Processing and Computer Vision Health Informatics Artificial Intelligence Probability and Statistics in Computer Science Math Applications in Computer Science Pattern Recognition |
| ISBN | 3-319-61188-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases -- BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases -- LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images -- Landmark-based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images -- Inferring Disease Status by non-Parametric Probabilistic Embedding -- A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images -- Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study -- Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker -- Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation -- Automatic Detection of Histological Artifacts in Mouse Brain Slice Images -- Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features -- Representation Learning for Cross-Modality Classification -- Guideline-based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound -- A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images -- Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data -- Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields -- Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI data -- Non-local Graph-based Regularization for Deformable Image Registration -- Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. . |
| Record Nr. | UNISA-996466465403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Medical Computer Vision. Large Data in Medical Imaging [[electronic resource] ] : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers / / edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Zhuowen Tu
| Medical Computer Vision. Large Data in Medical Imaging [[electronic resource] ] : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers / / edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Zhuowen Tu |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XI, 229 p. 93 illus.) |
| Disciplina | 610.2856 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Health informatics Image Processing and Computer Vision Pattern Recognition Health Informatics |
| ISBN | 3-319-05530-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview of the 2013 Workshop on Medical Computer Vision -- Semi-supervised Learning of Nonrigid Deformations for Image Registration -- Local Regression Learning via Forest Classification For 2D/3D Deformable Registration -- Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images -- 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image -- Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography -- Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas -- Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies -- Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images -- White Matter Supervoxel Segmentation by Axial DP-Means Clustering -- Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images -- Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography -- Automatic Aorta Detection in 3D Cardiac CT Images Using Bayesian Tracking Method -- Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models -- Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography -- Multilevel Image Feature Learning for Computer-Aided Diagnosis on Large-Scale Evaluation -- Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis -- 2D–Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions -- Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization -- A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy -- Multi-Structure Atlas-Based Segmentation Using Anatomical Regions of Interest -- Using Probability Maps for Multi-organ Automatic Segmentation. |
| Record Nr. | UNISA-996203274903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Medical Computer Vision. Large Data in Medical Imaging [[electronic resource] ] : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers / / edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Zhuowen Tu
| Medical Computer Vision. Large Data in Medical Imaging [[electronic resource] ] : Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers / / edited by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Zhuowen Tu |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XI, 229 p. 93 illus.) |
| Disciplina | 610.2856 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Pattern recognition Health informatics Image Processing and Computer Vision Pattern Recognition Health Informatics |
| ISBN | 3-319-05530-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview of the 2013 Workshop on Medical Computer Vision -- Semi-supervised Learning of Nonrigid Deformations for Image Registration -- Local Regression Learning via Forest Classification For 2D/3D Deformable Registration -- Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images -- 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image -- Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography -- Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas -- Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies -- Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images -- White Matter Supervoxel Segmentation by Axial DP-Means Clustering -- Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images -- Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography -- Automatic Aorta Detection in 3D Cardiac CT Images Using Bayesian Tracking Method -- Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models -- Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography -- Multilevel Image Feature Learning for Computer-Aided Diagnosis on Large-Scale Evaluation -- Shape Curvature Histogram: A Shape Feature for Celiac Disease Diagnosis -- 2D–Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions -- Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization -- A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy -- Multi-Structure Atlas-Based Segmentation Using Anatomical Regions of Interest -- Using Probability Maps for Multi-organ Automatic Segmentation. |
| Record Nr. | UNINA-9910483110703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
