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Artificial intelligence on medical data : proceedings of International Symposium, ISCMM 2021 / / Mousumi Gupta [and three others], editors
| Artificial intelligence on medical data : proceedings of International Symposium, ISCMM 2021 / / Mousumi Gupta [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (474 pages) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Computer vision in medicine
Diagnostic imaging Artificial Intelligence Diagnostic Imaging - methods |
| Soggetto genere / forma | Congress. |
| ISBN | 981-19-0151-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Retinal Vessel Segmentation in Fundus Image using Low-Cost Multiple U-Net Architecture -- Imaging Radiomic-Driven Framework for Automated Cancer Investigation -- Computational image analysis of painful and pain free intervertebral disc -- Bio-medical image encryption using the modified chaotic image encryption method -- Stability of Feature Selection Algorithms -- A Database Application of Monitoring Covid-19 in India -- Walking Assistant for Vision Impaired by Using Deep Learning -- Detection of Coronavirus in Electron Microscope Imagery using Convolutional Neural Networks -- IoT & RFID based Smart Card System Integrated with Healthcare, Electricity, QR and Banking Sectors -- Face Mask Recognition Using Modular, Wavelet and Modular-Wavelet PCA -- Effective Overview of Different ML Models used for Prediction of COVID -19 Patients -- Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID -19 -- A Study on Various Medical Imaging Modalities and image fusion methods -- A Deep Learning Technique For Bi-fold Grading of an Eye Disorder DR-Diabetic Retinopathy -- Brain Tumor Detection Using Fine Tuned YOLO Model with Transfer Learning. |
| Record Nr. | UNINA-9910627275803321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Augmented Reality / / edited by Soha Maad
| Augmented Reality / / edited by Soha Maad |
| Pubbl/distr/stampa | Rijeka : , : InTech, , 2010 |
| Descrizione fisica | 1 online resource (xiii, 242 pages) : illustrations |
| Disciplina | 006.8 |
| Soggetto topico |
Augmented reality
Computer vision in medicine Human-computer interaction |
| ISBN | 953-51-5485-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138290603321 |
| Rijeka : , : InTech, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer vision for assistive healthcare / / edited by Leo Marco and Giovanni Maria Farinella
| Computer vision for assistive healthcare / / edited by Leo Marco and Giovanni Maria Farinella |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (398 pages) |
| Disciplina | 616.0754 |
| Soggetto topico | Computer vision in medicine |
| ISBN |
0-12-813446-1
0-12-813445-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer vision for sight / Feng Hu, Hao Tang, Aleksandr Tsema, Zhigang Zhu -- Computer vision for cognition / Corneliu Florea, Laura Florea, Constantin Vertan -- Real-time 3D tracker in robot-based neurorehabilitation / Fabio Stroppa, Mine Saraç Stroppa, Simone Marcheschi, Claudio Loconsole, Edoardo Sotgiu, Massimiliano Solazzi, Domenico Buongiorno, Antonio Frisoli -- Computer vision and machine learning for surgical instrument tracking / Nicola Rieke, Federico Tombari, Nassir Navab -- Computer vision for human-machine interaction / Qiuhong Ke, Jun Liu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid -- Computer vision for ambient assisted living / Sara Colantonio, Giuseppe Coppini, Daniela Giorgi, Maria-Aurora Morales, Maria A. Pascali, -- Computer vision for egocentric (first-person) vision / Mariella Dimiccoli -- Computer vision for augmentative and alternative communication / Sethuraman Panchanathan, Meredith Moore, Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel -- Computer vision for lifelogging / Peng Wang, Lifeng Sun, Alan F. Smeaton, Cathal Gurrin, Shiqiang Yang, -- Computational analysis of affect, personality, and engagement in human-robot interactions / Oya Celiktutan, Evangelos Sariyanidi, Hatice Gunes -- On modeling and analyzing crowds from videos / Nicola Conci, Niccoló Bisagno, Andrea Cavallaro -- Designing assistive tools for the market / Manuela Chessa, Nicoletta Noceti, Chiara Martini, Fabio Solari, Francesca Odone. |
| Record Nr. | UNINA-9910583329903321 |
| London, United Kingdom : , : Academic Press, an imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer vision in medical imaging / / editor, C.H. Chen
| Computer vision in medical imaging / / editor, C.H. Chen |
| Pubbl/distr/stampa | New Jersey : , : World Scientific, , [2014] |
| Descrizione fisica | 1 online resource (xiii, 393 pages) : illustrations (some color) |
| Disciplina | 006.37 |
| Collana | Series in computer vision |
| Soggetto topico |
Diagnostic imaging - Data processing
Computer vision in medicine |
| ISBN | 981-4460-94-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; CONTENTS; Chapter 1 An Introduction to Computer Vision in Medical Imaging Chi Hau Chen; 1. Introduction; 2. Some Medical Imaging Methods; 2.1. X-ray; 2.2. Magnetic Resonance Image (MRI); 2.3. Intravascular Ultrasound (IVUS); 3. Roles of Computer Vision, Image Processing and Pattern Recognition; 4. Active Contours; 4.1. Snakes; 4.2. Level set methods; 4.3. Geodesic active contours; 4.4. Region-based active contours; 4.5. Hybrid evolution method; 4.6. IVUS image segmentation; 5. Concluding Remarks; Acknowledgment; References; Part 1 Theory and Methodologies
Chapter 2 Distribution Matching Approaches to Medical Image Segmentation Ismail Ben Ayed1. Introduction; 2. Formulations; 3. Optimization Aspects; 3.1. Specialized optimizers; 3.2. Derivative-based optimizers; 3.2.1. Active curves and level sets; 3.2.2. Line search and trust region methods; 3.3. Bound optimizers; 3.3.1. Graph cuts; 3.3.2. Convex-relaxation techniques; 4. Medical Imaging Applications; 4.1. Left ventricle segmentation in cardiac images; 4.1.1. Example; 4.2. Vertebral-body segmentation in spine images; 4.2.1. Example; 4.3. Brain tumor segmentation; 5. Conclusion and Outlook ReferencesChapter 3 Digital Pathology in Medical Imaging Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez; 1. Introduction; A. Subtyping and the role of digital pathology; B. Quantification of IHC markers; C. Tissue and stain variability; D. Rules-based segmentation and identification; E. Learning from image data examples; F. Object-based learning models; G. Membrane detection algorithms; H. HER2 Dual ISH slide scoring algorithm; 2. DP Enabled Applications; 3. Multiplexed Quantification; 4. Quantification Algorithms; 5. Summary; Acknowledgment; References Chapter 4 Adaptive Shape Prior Modeling via Online Dictionary Learning Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas1. Introduction; 2. Relevant Work; 3. Methodology; 3.1. Sparse Shape Composition; 3.2. Shape Dictionary Learning; 3.3. Online Shape Dictionary Update; 4. Experiments; 4.1. Lung Localization; 4.2. Real-time Left Ventricle Tracking; 5. Conclusions; References; Chapter 5 Feature-Centric Lesion Detection and Retrieval in Thoracic Images Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng; 1. Lesion Detection; 1.1. Review of State-of-the-art 1.2. Region-based Feature Classification1.2.1. Region Type Identification; 1.2.2. Region Type Refinement; 1.2.3. 3D Object Localization; 1.3. Multi-stage Discriminative Model; 1.3.1. Abnormality Detection; 1.3.2. Tumor and Lymph Node Differentiation; 1.3.3. Tumor Region Refinement; 1.3.4. Experimental Results; 1.4. Data Adaptive Structure Estimation; 1.4.1. Initial Abnormality Detection; 1.4.2. Adaptive Structure Estimation; 1.4.3. Feature Extraction and Classification; 1.4.4. Experimental Results; 2. Thoracic Image Retrieval; 2.1. Review of State-of-the-art 2.2. Pathological Feature Description |
| Record Nr. | UNINA-9910790748003321 |
| New Jersey : , : World Scientific, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer vision in medical imaging / / editor, C.H. Chen
| Computer vision in medical imaging / / editor, C.H. Chen |
| Pubbl/distr/stampa | New Jersey : , : World Scientific, , [2014] |
| Descrizione fisica | 1 online resource (xiii, 393 pages) : illustrations (some color) |
| Disciplina | 006.37 |
| Collana | Series in computer vision |
| Soggetto topico |
Diagnostic imaging - Data processing
Computer vision in medicine |
| ISBN | 981-4460-94-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; CONTENTS; Chapter 1 An Introduction to Computer Vision in Medical Imaging Chi Hau Chen; 1. Introduction; 2. Some Medical Imaging Methods; 2.1. X-ray; 2.2. Magnetic Resonance Image (MRI); 2.3. Intravascular Ultrasound (IVUS); 3. Roles of Computer Vision, Image Processing and Pattern Recognition; 4. Active Contours; 4.1. Snakes; 4.2. Level set methods; 4.3. Geodesic active contours; 4.4. Region-based active contours; 4.5. Hybrid evolution method; 4.6. IVUS image segmentation; 5. Concluding Remarks; Acknowledgment; References; Part 1 Theory and Methodologies
Chapter 2 Distribution Matching Approaches to Medical Image Segmentation Ismail Ben Ayed1. Introduction; 2. Formulations; 3. Optimization Aspects; 3.1. Specialized optimizers; 3.2. Derivative-based optimizers; 3.2.1. Active curves and level sets; 3.2.2. Line search and trust region methods; 3.3. Bound optimizers; 3.3.1. Graph cuts; 3.3.2. Convex-relaxation techniques; 4. Medical Imaging Applications; 4.1. Left ventricle segmentation in cardiac images; 4.1.1. Example; 4.2. Vertebral-body segmentation in spine images; 4.2.1. Example; 4.3. Brain tumor segmentation; 5. Conclusion and Outlook ReferencesChapter 3 Digital Pathology in Medical Imaging Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez; 1. Introduction; A. Subtyping and the role of digital pathology; B. Quantification of IHC markers; C. Tissue and stain variability; D. Rules-based segmentation and identification; E. Learning from image data examples; F. Object-based learning models; G. Membrane detection algorithms; H. HER2 Dual ISH slide scoring algorithm; 2. DP Enabled Applications; 3. Multiplexed Quantification; 4. Quantification Algorithms; 5. Summary; Acknowledgment; References Chapter 4 Adaptive Shape Prior Modeling via Online Dictionary Learning Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas1. Introduction; 2. Relevant Work; 3. Methodology; 3.1. Sparse Shape Composition; 3.2. Shape Dictionary Learning; 3.3. Online Shape Dictionary Update; 4. Experiments; 4.1. Lung Localization; 4.2. Real-time Left Ventricle Tracking; 5. Conclusions; References; Chapter 5 Feature-Centric Lesion Detection and Retrieval in Thoracic Images Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng; 1. Lesion Detection; 1.1. Review of State-of-the-art 1.2. Region-based Feature Classification1.2.1. Region Type Identification; 1.2.2. Region Type Refinement; 1.2.3. 3D Object Localization; 1.3. Multi-stage Discriminative Model; 1.3.1. Abnormality Detection; 1.3.2. Tumor and Lymph Node Differentiation; 1.3.3. Tumor Region Refinement; 1.3.4. Experimental Results; 1.4. Data Adaptive Structure Estimation; 1.4.1. Initial Abnormality Detection; 1.4.2. Adaptive Structure Estimation; 1.4.3. Feature Extraction and Classification; 1.4.4. Experimental Results; 2. Thoracic Image Retrieval; 2.1. Review of State-of-the-art 2.2. Pathological Feature Description |
| Record Nr. | UNINA-9910825001503321 |
| New Jersey : , : World Scientific, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computer vision, virtual reality, and robotics in medicine : first international conference, CVRMed '95, Nice, France, April 3-6, 1995 : proceedings / / Nicholas Ayache, ed
| Computer vision, virtual reality, and robotics in medicine : first international conference, CVRMed '95, Nice, France, April 3-6, 1995 : proceedings / / Nicholas Ayache, ed |
| Edizione | [1st ed. 1995.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1995] |
| Descrizione fisica | 1 online resource (XIV, 574 p.) |
| Disciplina | 610/.285/6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Virtual reality in medicine
Robotics in medicine Computer vision in medicine |
| ISBN | 3-540-49197-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466126603316 |
| Berlin, Germany ; ; New York, New York : , : Springer-Verlag, , [1995] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent vision in healthcare / / edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya
| Intelligent vision in healthcare / / edited by Mukesh Saraswat, Harish Sharma, Karm Veer Arya |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (161 pages) |
| Disciplina | 610.285 |
| Collana | Studies in autonomic, data-driven and industrial computing |
| Soggetto topico |
Artificial intelligence - Medical applications
Computer vision in medicine |
| ISBN |
981-16-7770-0
981-16-7771-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743357903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical image analysis
| Medical image analysis |
| Pubbl/distr/stampa | [Oxford, England], : Oxford University Press, 1996- |
| Disciplina | 610.28 |
| Soggetto topico |
Imaging systems in medicine
Image processing Computer vision in medicine Image processing - Periodicals Diagnostic imaging Magnetic resonance imaging Nuclear medicine Tomography, X-Ray Computed Diagnostic Imaging Magnetic Resonance Imaging Ultrasonography Nuclear Medicine Imagerie médicale Traitement d'images - Périodiques Vision par ordinateur en médecine Traitement d'images Imagerie pour le diagnostic Imagerie par résonance magnétique Échographie Médecine nucléaire Tomodensitométrie Medizin Bildgebendes Verfahren Bildverarbeitung Zeitschrift Online-Ressource |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1361-8423 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996213441803316 |
| [Oxford, England], : Oxford University Press, 1996- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image analysis
| Medical image analysis |
| Pubbl/distr/stampa | [Oxford, England], : Oxford University Press, 1996- |
| Disciplina | 610.28 |
| Soggetto topico |
Imaging systems in medicine
Image processing Computer vision in medicine Diagnostic imaging Magnetic resonance imaging Nuclear medicine Tomography, X-Ray Computed Diagnostic Imaging Magnetic Resonance Imaging Ultrasonography Nuclear Medicine Imagerie médicale Traitement d'images - Périodiques Vision par ordinateur en médecine Traitement d'images Imagerie pour le diagnostic Imagerie par résonance magnétique Échographie Médecine nucléaire Tomodensitométrie Medizin Bildgebendes Verfahren Bildverarbeitung Zeitschrift Online-Ressource |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1361-8423 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910146525003321 |
| [Oxford, England], : Oxford University Press, 1996- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical imaging and augmented reality : 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010 : proceedings / / Hongen Liao ... [et al.] (eds.)
| Medical imaging and augmented reality : 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010 : proceedings / / Hongen Liao ... [et al.] (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XVII, 573 p. 271 illus.) |
| Disciplina |
006.6
006.37 |
| Altri autori (Persone) | LiaoHongen |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
| Soggetto topico |
Diagnostic imaging
Imaging systems in medicine Computer vision in medicine |
| ISBN |
1-280-38892-7
9786613566843 3-642-15699-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Segmentation -- Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method -- A Unified Minimal Path Tracking and Topology Characterization Approach for Vascular Analysis -- Subject Specific Shape Modeling with Incremental Mixture Models -- Segmentation of the Infarct and Peri-infarct Zones in Cardiac MR Images -- Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images -- Multi-parametric Classification of Traumatic Brain Injury Patients Using Automatic Analysis of Quantitative MRI Scans -- Image Registration -- Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift -- Registration of CT Segmented Surfaces and 3-D Cardiac Electroanatomical Maps -- Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration -- A Continuity Equation Based Optical Flow Method for Cardiac Motion Correction in 3D PET Data -- Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration -- Shape Modeling and Morphometry -- Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition -- A Framework for 3D Analysis of Facial Morphology in Fetal Alcohol Syndrome -- Feature Driven Rule Based Framework for Automatic Modeling of Organic Shapes in the Design of Personalized Medical Prosthetics -- Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences -- Automatic Computation of Electrodes Trajectory for Deep Brain Stimulation -- Shape Modeling and Morphometry -- FEM Based 3D Tumor Growth Prediction for Kidney Tumor -- Adaptive GPU Ray Casting Based on Spectral Analysis -- Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images -- Robust 3D Reconstruction and Mean-Shift Clustering of Motoneurons from Serial Histological Images -- Diffusion Tensor Image -- DTI Connectivity by Segmentation -- Locally Weighted Regression for Estimating and Smoothing ODF Field Simultaneously -- Distinguishing Left or Right Temporal Lobe Epilepsy from Controls Using Fractional Anisotropy Asymmetry Analysis -- Hierarchical Spherical Harmonics Based Deformable HARDI Registration -- Computer Assisted Intervention -- Marker-Free Registration for Electromagnetic Navigation Bronchoscopy under Respiratory Motion -- Computational Decision Support for Percutaneous Aortic Valve Implantation -- Relative Error: An Approach for in vivo Characterization of Electromagnetic Tracking Errors and Confidence Intervals -- A Motion Correction Algorithm for Microendoscope Video Computing in Image-Guided Intervention -- Least-Incision Transformable End-Effector Mechanism for Forceps for Endoscopic Surgery -- Real-Time Organ Tracking in Ultrasound Imaging Using Active Contours and Conditional Density Propagation -- Medical Image Computing -- A Malignant Breast Carcinoma Size Assessment Using Multiple Orientation Axial, Lateral, and Shear Elastographies: The Second Stage of a Pilot Study -- Level Set Diffusion for MRE Image Enhancement -- Content-Based Surgical Workflow Representation Using Probabilistic Motion Modeling -- Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique -- Visualization and Application -- DVV: Towards a Taxonomy for Mixed Reality Visualization in Image Guided Surgery -- Three-Dimensional Ultrasound Probe Pose Estimation from Single-Perspective X-Rays for Image-Guided Interventions -- Automated Nomenclature of Upper Abdominal Arteries for Displaying Anatomical Names on Virtual Laparoscopic Images -- Hidden Markov Model for Quantifying Clinician Expertise in Flexible Instrument Manipulation -- A Robust Mosaicing Method with Super-Resolution for Optical Medical Images -- Segmentation and Classification -- Spectral Aggregation Based on Iterative Graph Cut for Sonographic Breast Image Segmentation -- Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization -- Probabilistic Refinement of Model-Based Segmentation: Application to Radiation Therapy Planning of the Head and Neck -- Skin Lesions Classification with Optical Spectroscopy -- Segmentation of Vertebral Bodies in MR Images Based on Geometrical Models in 3D -- Medical Image Understanding -- A Learning-Based Approach to Evaluate Registration Success -- Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts -- Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features -- Neural Mass Model Driven Nonlinear EEG Analysis -- Modeling the Dermoscopic Structure Pigment Network Using a Clinically Inspired Feature Set -- Image-Guided Surgery -- An Application Driven Comparison of Several Feature Extraction Algorithms in Bronchoscope Tracking During Navigated Bronchoscopy -- Modeling Kinematics of Mobile C-Arm and Operating Table as an Integrated Six Degrees of Freedom Imaging System -- Peripheral Lung Cancer Detection by Vascular Tumor Labeling Using In-Vivo Microendoscopy under Real Time 3D CT Image Guided Intervention -- Particle-Based Deformable Modeling with Pre-computed Surface Data in Real-Time Surgical Simulation -- Direct Co-calibration of Endobronchial Ultrasound and Video -- Augmented Reality -- Real-Time Epicardial Excitation Time Map Overlay -- Knowledge-Based Situation Interpretation for Context-Aware Augmented Reality in Dental Implant Surgery -- Scorpion Shaped Endoscopic Surgical Robot for NOTES and SPS With Augmented Reality Functions -- Optimisation of Focal Length Using a Stereoscopic Operating Microscope for Augmented Reality Surgical Guidance -- An Efficient Graph-Based Deformable 2D/3D Registration Algorithm with Applications for Abdominal Aortic Aneurysm Interventions. |
| Record Nr. | UNINA-9910483959103321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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