Autore	Mann Ritse M
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (405 pages)
Disciplina	006.3
Altri autori (Persone)	ZhangTianyu TanTao HanLuyi TruhnDanial LiShuo GaoYuan DoyleShannon Martí MarlyRobert KatherJakob Nikolas
Collana	Lecture Notes in Computer Science
Soggetto topico	Artificial intelligence Artificial Intelligence
ISBN	9783031777899 3031777891
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Evaluation of Bagging Ensembles on Multimodal Data for Breast Cancer Diagnosis -- HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging -- DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-Modal Organ and Lesion Segmentation -- One for All: UNET Training on Single-Sequence Masks for Multi-Sequence Breast MRI Segmentation -- Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model -- Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data -- Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models -- Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification -- Virtual dynamic contrast enhanced breast MRI using 2D U-Net -- Optimizing BI-RADS 4 Lesion Assessment using Lightweight Convolutional Neural Network with CBAM in Contrast Enhanced Mammography -- Mammographic Breast Positioning Assessment via Deep Learning -- Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results -- Thick Slices for Optimal Digital Breast Tomosynthesis Classification with Deep-Learning -- Predicting Aesthetic Outcomes in Breast Cancer Surgery: a Multimodal Retrieval Approach -- Vision Mamba for Classification of Breast Ultrasound Images -- Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers -- Graph Neural Networks for modelling breast biomechanical compression -- A generative adversarial approach to remove Moiré artifacts in Dark-field and Phase-contrast x-ray images -- MRI Breast tissue segmentation using nnUNet for Biomechanical modeling -- Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation -- Guiding Breast Conservative Surgery by Augmented Reality from Preoperative MRI: Initial System Design and Retrospective Trials -- ELK: Enhanced Learning through cross-modal Knowledge transfer for lesion detection in limited-sample contrast-enhanced mammography datasets -- Safe Breast Cancer Diagnosis Resilient to Mammographic Adversarial Samples.
Record Nr.	UNINA-9910983086703321

Edizione	[1st ed. 2014.]
Pubbl/distr/stampa	Cham [Switzerland] : , : Springer, , 2014
Descrizione fisica	1 online resource (xiv, 137 pages) : illustrations (some color)
Disciplina	621.367
Collana	Lecture Notes in Computational Vision and Biomechanics
Soggetto topico	Imaging systems in medicine Computational biology
ISBN	3-319-03590-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Preface -- Workshop Organizers -- Workshop Program Committee -- Acknowledgements -- Novel Colon Wall Flattening Model for Computed Tomographic Colonography: Method and Validation, by Huafeng Wang, Lihong Li, Hao Han, Yunhong Wang, Weifeng Lv, Xianfeng Gu, Zhengrong Liang -- Biomechanical Simulation of Lung Deformation from One CT Scan, by Feng Li, Fatih Porikli -- 2D-3D Registration: A Step towards Image-Guided Ankle Fusion, by Ahmed Shalaby, Aly Farag, Eslam Mostafa, Todd Hockenbury -- A Graph Based Methodology for Volumetric Left Ventricle Segmentation, by S. P. Dakua, J. Abi Nahed, A. Al-Ansari -- Minimally Interactive MRI Segmentation for Subject-Specific Modelling of the Tongue, by Negar M. Harandi, Rafeef Abugharbieh, Sidney Fels -- Real-time and Accurate Endoscope Electromagnetic Tracking via Marker-free Registration Based on Endoscope Tip Center, by Xiongbiao Luo, Kensaku Mori -- Evaluation of Image Guided Robot Assisted Surgical Training for Patient Specific Laparoscopic Surgery, by Tao Yang, Kyaw Kyar Toe, Chin Boon Chng, Chee Kong Chui, Jiang Liu, Stephan K.Y. Chang -- Proxemics Measurement during Social Anxiety Disorder Therapy using a RGBD Sensors Network, by Julien Leroy, François Rocca, Bernard Gosselin -- How Do Sex, Age and Osteoarthritis Affect Cartilage Thickness at the Thumb Carpometacarpal Joint? Insights from Subject-Specific Cartilage Modeling, by Eni Halilaj, David H Laidlaw, Douglas C Moore, Joseph J Crisco -- Patient Specific Modeling of Pectus Excavatum for the Nuss Procedure Simulation, by Krzysztof J. Rechowicz, Mohammad F. Obeid, Frederic D. McKenzie -- Formulating a Pedicle Screw Fastening Strength Surrogate via Patient-Specific Virtual Templating and Planning, by Cristian A. Linte, Jon J. Camp, Kurt Augustine, Paul M. Huddleston, Anthony A. Stans, David R. Holmes III, Richard A. Robb.
Record Nr.	UNINA-9910299495503321

Edizione	[1st ed. 2020.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica	1 online resource (XII, 120 p. 63 illus., 50 illus. in color.)
Disciplina	616.730754
Collana	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico	Optical data processing Machine learning Computers Education—Data processing Application software Image Processing and Computer Vision Machine Learning Information Systems and Communication Service Computers and Education Computer Appl. in Social and Behavioral Sciences
ISBN	3-030-39752-1
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Regular Papers -- Detection of vertebral fractures in CT using 3D Convolutional Neural Networks -- Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline -- Conditioned Variational Auto-Encoder for Detecting Osteoporotic Vertebral Fractures -- Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape -- Semi-supervised semantic segmentation of multiple lumbosacral structures on CT -- AASCE Challenge -- Accurate Automated Keypoint Detections for Spinal Curvature Estimation -- Seg4Reg Networks for Automated Spinal Curvature Estimation -- Automatic Spine Curvature Estimation by a Top-down Approach -- Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression -- Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks -- Automated Spinal Curvature Assessment from X-Ray Images using Landmarks Estimation Network via Rotation Proposals -- A coarse-to-fine deep heatmap regression method for Adolescent Idiopathic Scoliosis Assessment -- Spinal Curve Guide Network(SCG-Net) for Accurate Automated Spinal Curvature Estimation -- A Multi-Task Learning Method for Direct Estimation of Spinal Curvature.
Record Nr.	UNISA-996418205603316

Edizione	[1st ed. 2019.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica	1 online resource (X, 181 p. 103 illus., 77 illus. in color.)
Disciplina	616.730754
Collana	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico	Optical data processing Health informatics Computer communication systems Artificial intelligence Computer hardware Image Processing and Computer Vision Health Informatics Computer Communication Networks Artificial Intelligence Computer Hardware
ISBN	3-030-13736-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU -- Predicting Scoliosis in DXA Scans Using Intermediate Representations -- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery -- Automated Grading of Modic Changes Using CNNs – Improving the Performance with Mix-up -- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models -- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks -- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI -- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning -- Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach.
Record Nr.	UNISA-996466445103316

Edizione	[1st ed. 2016.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica	1 online resource (X, 159 p. 61 illus.)
Disciplina	616.730754
Collana	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico	Optical data processing Pattern recognition Computer graphics Artificial intelligence Computer simulation Algorithms Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Simulation and Modeling Algorithm Analysis and Problem Complexity
ISBN	3-319-41827-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength -- Automatic Modic Changes Classification in Spinal MRI -- Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery -- Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting -- Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering -- Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting -- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT -- Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation -- Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach -- Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-Atlas Based Registration -- Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor -- 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs -- Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours -- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework -- Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. .
Record Nr.	UNISA-996465678203316