Serious Games: Joint International Conference, JCSG 2022, Weimar, Germany, September 22–23, 2022, Proceedings

Preface
Organization
Contents
AugPaste: One-Shot Anomaly Detection for Medical Images
	1 Introduction
	2 Methods
		2.1 Construction of Lesion Bank
		2.2 Synthesis of Anomalous Samples
		2.3 Anomaly Detection Network
		2.4 Implementation Details
	3 Experiments and Results
		3.1 Datasets
		3.2 Evaluation Metric
		3.3 Ablation Studies on EyeQ
		3.4 Comparison with State-of-the-Art
	4 Conclusion
	References
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life
	1 Introduction
	2 Methodology
	3 Results
		3.1 Vessel Tortuosity Decreases in Risk Groups
		3.2 Longitudinal Variations of Retinal Features in Risk Groups
	4 Discussion
	5 Conclusion
	References
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Robust Feature Learning Architecture
		3.2 Proposed Representation Learning Loss
		3.3 Final Objective Function
	4 Experiments
		4.1 Data-Set Processing
		4.2 Hyper-parameter Tuning
		4.3 Performance Metrics
		4.4 Quantitative Evaluation
		4.5 Qualitative Evaluation
	5 Conclusion and Future Work
	References
GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures
	1 Introduction
	2 Method
		2.1 GUNet
		2.2 Graph Convolution
		2.3 Graph Construction
	3 Experiments
		3.1 Datasets and Evaluation Metrics
		3.2 Implementation Details
	4 Results
		4.1 Experiments on Fundus Photography
		4.2 Experiments on SLO Images
		4.3 Visualization
	5 Conclusion
	References
Detection of Diabetic Retinopathy Using Longitudinal
	1 Introduction
	2 Methods
		2.1 Longitudinal Siamese
		2.2 Longitudinal Self-supervised Learning
		2.3 Longitudinal Neighbourhood Embedding
	3 Dataset
	4 Experiments and Results
		4.1 Comparison of the Approaches on the Early Change Detection
		4.2 Norm of Trajectory Vector Analyze
	5 Discussion
	References
Multimodal Information Fusion for Glaucoma and Diabetic Retinopathy Classification
	1 Introduction
	2 Methods
		2.1 Early Fusion
		2.2 Intermediate Fusion
		2.3 Hierarchical Fusion
	3 Material and Experiments
		3.1 Data
		3.2 Data Pre-processing
		3.3 Implementation Details
	4 Results
		4.1 GAMMA Dataset
		4.2 PlexEliteDR Dataset
	5 Conclusion
	References
Mapping the Ocular Surface from Monocular Videos with an Application to Dry Eye Disease Grading
	1 Introduction
	2 Proposed Method
	3 Experiments and Results
		3.1 SiGMoid
		3.2 DED Diagnosis: Classification
	4 Discussion and Conclusion
	References
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter
	1 Introduction
	2 Methods
		2.1 Quality Prediction on a Categorical Scale and Continuous Scale
		2.2 Effect of Varying Image Quality Threshold
	3 Experiments
		3.1 Altering Quality Threshold on a Categorical Scale
		3.2 Altering Quality Threshold on a Continuous Scale
		3.3 Tuning on a Continuous Scale: Does it Confer Additional Value?
	4 Discussions and Conclusions
	References
Robust and Efficient Computation of Retinal Fractal Dimension Through Deep Approximation
	1 Introduction
	2 Deep Approximation of Retinal Traits (DART)
		2.1 Motivation and Theory
		2.2 Implementation
	3 Experiments
		3.1 Data
		3.2 Results
	4 Conclusion
	References
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks
	1 Introduction
	2 Method
		2.1 Zoom-In Module
		2.2 Attentive Fusion Module
	3 Experiments and Results
		3.1 Datasets and Settings
		3.2 Experimental Setup
		3.3 Results and Discussion
	4 Conclusions
	References
Intra-operative OCT (iOCT) Super Resolution: A Two-Stage Methodology Leveraging High Quality Pre-operative OCT Scans
	1 Introduction
	2 Methods
		2.1 Datasets
		2.2 Two-Stage Super-Resolution Approach
		2.3 Implementation Details
		2.4 Evaluation Metrics
	3 Results
		3.1 Evaluation on Real iOCT Images
		3.2 Evaluation on Pseudo iOCT Images
	4 Discussion and Conclusions
	References
Domain Adaptive Retinal Vessel Segmentation Guided by High-frequency Component
	1 Introduction
	2 Methodology
		2.1 Fourier Domain Adaptation
		2.2 High-frequency Component Extraction Based on Gaussian Filtering
		2.3 Multi-input Deep Vessel Segmentation Model
	3 Experiments
		3.1 Experiment Settings
		3.2 Comparison and Ablation Study
	4 Conclusion
	References
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer
	1 Introduction
	2 Method
		2.1 Overall Architecture
		2.2 The Encoder Path
		2.3 The Adaptive Multi-scale Transformer Module
	3 Experiments and Results
		3.1 Dataset
		3.2 Implementation Detail
		3.3 Comparison Study
		3.4 Wavelet Feature Representation Visualization
		3.5 Ablation Study
	4 Conclusion
	References
Dataset and Evaluation Algorithm Design for GOALS Challenge
	1 Introduction
	2 Dataset
	3 Baseline
	4 Evaluation
		4.1 Task 1: Layer Segmentation
		4.2 Task 2: Glaucoma Classification
	5 Conclusion
	References
Self-supervised Learning for Anomaly Detection in Fundus Image
	1 Introduction
	2 Methodology
		2.1 Illumination Information Change Augmentation
		2.2 Reconstruction for Reflectance Image
		2.3 Semi-hard Negative Mining Strategy
	3 Experiments and Result
		3.1 Dataset
		3.2 Anomaly Score
		3.3 Ablation Study
		3.4 Comparison with the State-of-the-Arts(SOTA)
		3.5 Qualitative Analysis
	4 Conclusion
	References
GARDNet: Robust Multi-view Network for Glaucoma Classification in Color Fundus Images
	1 Introduction
	2 Related Works
	3 Method
		3.1 Preprocessing
		3.2 Multi-view Classification Network
	4 Datasets
	5 Experimental Setup
	6 Experiments and Results
	7 Discussion
	8 Conclusion
	References
Fundus Photograph Defect Repair Algorithm Based on Portable Camera Empty Shot
	1 Introduction
	2 Related Work
		2.1 Image Enhancement
		2.2 Image Inpainting
	3 The Proposed Method
		3.1 Camera Empty Shot Image
		3.2 Compensation Template
	4 Evaluations
		4.1 Data Set and Experimental Setup
		4.2 Experimental Results
	5 Conclusions
	References
Template Mask Based Image Fusion Built-in Algorithm for Wide Field Fundus Cameras
	1 Introduction
	2 Related Work
	3 The Proposed Method
		3.1 Wide Field Fundus Image Pre-processing
		3.2 Color and Brightness Normalization Based on Poisson Fusion
		3.3 Image Fusion Based on Template Mask
		3.4 Adaptive Brightness Adjustment
	4 Evaluations
		4.1 Data Set and Experimental Setup
		4.2 Results and Analysis
	5 Conclusions
	References
Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks
	1 Introduction
	2 Methods and Materials
		2.1 Data
		2.2 Federated Learning and Gradient Inversion Attack Framework
		2.3 Segmentation Matching Score
		2.4 Evaluation
	3 Results
		3.1 Gradient Inversion Attack Performance
		3.2 Extracting Identifiable Clinical Features from Reconstructed Images
	4 Conclusions
	References
Extraction of Eye Redness for Standardized Ocular Surface Photography
	1 Introduction
	2 Methods
		2.1 High-Resolution, Standardized Ocular Surface Photography System
		2.2 Image Data Set
		2.3 Automated Sclera Detection
		2.4 Eye Redness Extraction
		2.5 Ocular Surface Tile Annotation
	3 Experiments and Results
		3.1 Ocular Surface Tile Annotation
		3.2 Automated Tile Classification
		3.3 Redness Extraction
	4 Conclusion
	References
Author Index