Ophthalmic Medical Image Analysis 9th International Workshop OMIA 2022 Held in Conjunction with MICCAI 2022 Singapore Singapore September 22 Lecture Notes in Computer Science 13576 by Bhavna Antony 9783031165252 303116525X

Ophthalmic Medical Image Analysis 9th International Workshop OMIA 2022 Held in Conjunction with MICCAI 2022 Singapore Singapore September 22 Lecture Notes in Computer Science 13576 Bhavna Antony – Ebook Instant Download/Delivery ISBN(s): 9783031165245, 3031165241, 9783031165252, 303116525X

Product details:

• ISBN 10: 303116525X
• ISBN 13: 9783031165252
• Author: Bhavna Antony

This book constitutes the refereed proceedings of the 9th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 20 papers presented at OMIA 2022 were carefully reviewed and selected from 33 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.

Table contents:

AugPaste: One-Shot Anomaly Detection for Medical Images
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer’s Disease Later in Life
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures
Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter
Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans
Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer
Dataset and Evaluation Algorithm Design for GOALS Challenge
Self-supervised Learning for Anomaly Detection in Fundus Image
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images
Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks
Extraction of Eye Redness for Standardized Ocular Surface Photography
Correction to: Ophthalmic Medical Image Analysis

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