| Description |
1 online resource (xi, 162 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science, 1611-3349 ; 14096 |
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Lecture notes in computer science ; 14096. 1611-3349
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| Contents |
Intro -- Preface -- Organization -- Contents -- Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Image Processing -- 2.3 Statistical Analysis -- 3 Results -- 4 Discussion -- References -- Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images -- 1 Introduction -- 2 Methods -- 2.1 Model Architecture -- 2.2 Fusion Strategy -- 2.3 Manifold Mixup -- 3 Experiments and Results |
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3.1 Dataset -- 3.2 Implementation Details -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Auxiliary-Domain Learning for a Functional Prediction of Glaucoma Progression -- 1 Introduction -- 2 Methods -- 2.1 Data Acquisition -- 2.2 Baseline Deep Learning Model -- 2.3 Hard Parameter Sharing and Combined Loss Function -- 3 Experiments and Results -- 4 Discussion -- 5 Conclusion -- References -- QuickQual: Lightweight, Convenient Retinal Image Quality Scoring with Off-the-Shelf Pretrained Models -- 1 Introduction -- 2 Methods -- 2.1 EyeQ Dataset -- 2.2 QuickQual |
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2.3 RIQS Beyond 3-Way Classification: Fixed Prior Linearisation -- 2.4 QuickQual MEga Minified Estimator (QuickQual-MEME) -- 2.5 Evaluation -- 3 Results -- 3.1 QuickQual Performance on EyeQ -- 3.2 QuickQual-MEME Performance on Binary Task -- 3.3 Convenience and Speed -- 4 Discussion -- References -- Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation -- 1 Introduction -- 2 Method -- 3 Results -- 4 Discussion and Conclusions -- References -- UAU-Net: United Attention U-Shaped Network for the Segmentation of Pigment Deposits in Fundus Images of Retinitis Pigmentosa |
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1 Introduction -- 2 Method -- 2.1 Proposed Model -- 2.2 Dataset -- 2.3 Evaluation Metrics -- 3 Experiments and Results -- 3.1 Implementation Details -- 3.2 Ablation Study -- 3.3 Comparison Study -- 4 Conclusion -- References -- Glaucoma Progression Detection and Humphrey Visual Field Prediction Using Discriminative and Generative Vision Transformers -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 GP Detection Using TimeSformer -- 2.3 VF Prediction Using Generative ViT -- 3 Results and Discussion -- 3.1 GP Detection -- 3.2 VF Prediction Results |
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4 Discussion, Conclusions, and Future Directions -- References -- Utilizing Meta Pseudo Labels for Semantic Segmentation of Targeted Optic Nerve Features -- 1 Introduction -- 2 Meta Pseudo Labels -- 2.1 Implementation -- 3 Experimental Methods -- 3.1 Data Collection -- 3.2 Data Acquisition -- 3.3 Data Division -- 4 Results -- 4.1 Segmentation Results -- 4.2 Axon Counts -- 5 Discussion -- 5.1 Limitations -- 6 Conclusion -- References -- Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images -- 1 Introduction -- 2 Methodology -- 2.1 Overall Architecture |
| Summary |
This book constitutes the refereed proceedings of the 10th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 16 papers presented at OMIA 2023 were carefully reviewed and selected from 27 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed September 20, 2023) |
| Subject |
Pathology -- Data processing -- Congresses
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Eye -- Imaging -- Congresses
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Pathology -- Data processing
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Antony, Bhavna, editor.
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Chen, Hao, editor.
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Fang, Huihui, editor.
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Fu, Huazhu, editor.
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Lee, Cecilia S., editor.
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Zheng, Yalin, editor.
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International Conference on Medical Image Computing and Computer-Assisted Intervention (26th : 2023 : Vancouver, B.C. ; Online)
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| ISBN |
9783031440137 |
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3031440137 |
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