Ophthalmic Medical Image Analysis

Chapter 1 AugPaste: One-Shot Anomaly Detection for Medical Images

Chapter 3 Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images

Chapter 4 GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures

Chapter 5 Detection of Diabetic Retinopathy Using Longitudinal Self-supervised Learning

Chapter 6 Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification

Chapter 7 Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading

Chapter 8 Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter

Chapter 9 Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation

Chapter 10 Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks

Chapter 11 Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans

Chapter 13 Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer

Chapter 14 Dataset and Evaluation Algorithm Design for GOALS Challenge

Chapter 15 Self-supervised Learning for Anomaly Detection in Fundus Image

Chapter 16 GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images

Chapter 17 Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot

Chapter 18 Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras

Chapter 20 Extraction of Eye Redness for Standardized Ocular Surface Photography