| Description |
1 online resource (xxxviii, 801 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science, 1611-3349 ; 14223 |
|
Lecture notes in computer science ; 14223. 1611-3349
|
| Contents |
Intro -- Preface -- Organization -- Contents - Part IV -- Image Segmentation II -- Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation and Basic Architecture -- 2.2 Pseudo Labeling for Local Distribution Fitting -- 2.3 Category-Level Regularized Unlabeled-to-Labeled Learning -- 3 Experiments and Results -- 4 Conclusion -- References -- Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation -- 1 Introduction -- 2 Method |
|
2.1 Problem Definition and Method Overview -- 2.2 Style Augmentation -- 2.3 Contrastive Feature Disentanglement -- 2.4 Training and Inference -- 3 Experiments and Results -- 4 Conclusion -- References -- Transformer-Based Annotation Bias-Aware Medical Image Segmentation -- 1 Introduction -- 2 Method -- 2.1 Problem Formalization and Method Overview -- 2.2 CNN Encoder -- 2.3 PFE Module -- 2.4 SS Head -- 2.5 Loss and Inference -- 3 Experiments and Results -- 3.1 Dataset and Experimental Setup -- 3.2 Comparative Experiments -- 3.3 Ablation Analysis -- 4 Conclusion -- References |
|
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation -- 1 Introduction -- 2 Method -- 2.1 Uncertainty Estimation for Classification and Segmentation -- 2.2 Uncertainty-Informed Mutual Learning -- 2.3 Mutual Learning Process -- 3 Experiments -- 4 Conclusion -- References -- A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images -- 1 Introduction -- 2 Methods -- 2.1 Graph Contextual Model -- 2.2 Hierarchical Stitching Framework for Whole-Brain NIS -- 2.3 Implementation Details -- 3 Experiments |
|
3.1 Experimental Settings -- 3.2 Evaluation Metrics -- 3.3 Evaluating the Accuracy of NIS Stitching Results -- 3.4 Whole-Brain NIS in Neuroscience Applications -- 4 Conclusion -- References -- Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation -- 1 Introduction -- 2 Methods -- 2.1 Semantics-Preserved Multi-phase Synthesis -- 2.2 Transformer-Based Multi-scale Segmentation -- 3 Experiments and Results -- 3.1 Dataset and Evaluation Metrics -- 3.2 Implementation Details -- 3.3 Evaluation and Discussion -- 4 Conclusion -- References |
|
Robust Segmentation via Topology Violation Detection and Feature Synthesis -- 1 Introduction -- 2 Method -- 3 Evaluation -- 4 Conclusion -- References -- GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation -- 1 Introduction -- 2 Methodology -- 2.1 The Overall Framework -- 2.2 Multi-view Global-Local Fusion Module -- 2.3 Dense Cycle Loss -- 3 Experiment -- 3.1 Comparison with the State-of-the-Art Methods -- 3.2 Ablation Study -- 4 Conclusion -- References |
| Summary |
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning - transfer learning; Part II: Machine learning -- learning strategies; machine learning -- explainability, bias, and uncertainty; Part III: Machine learning -- explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications -- abdomen; clinical applications -- breast; clinical applications -- cardiac; clinical applications -- dermatology; clinical applications -- fetal imaging; clinical applications -- lung; clinical applications -- musculoskeletal; clinical applications -- oncology; clinical applications -- ophthalmology; clinical applications -- vascular; Part VIII: Clinical applications -- neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration |
| Notes |
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed October 3, 2023) |
| Subject |
Diagnostic imaging -- Data processing -- Congresses
|
|
Diagnostic imaging -- Data processing
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Greenspan, Hayit, editor.
|
|
Madabhushi, Anant, editor.
|
|
Mousavi, Parvin, editor
|
|
Salcudean, Septimiu Edmund, editor.
|
|
Duncan, James, 1951- editor.
|
|
Syeda-Mahmood, Tanveer, editor.
|
|
Taylor, Russell, editor.
|
| ISBN |
9783031439018 |
|
3031439015 |
|
