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Chapter and Conference Paper
Towards Explainable AI on Chest X-Ray Diagnosis Using Image Segmentation and CAM Visualization
Computer vision in medical diagnosis has achieved a high level of success in diagnosing diseases with high accuracy. However, conventional classifiers that produce an image-to-label result provide insufficient...
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Article
Open AccessA multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis
Computer vision in medical diagnosis has achieved a high level of success in diagnosing diseases with high accuracy. However, conventional classifiers that produce an image-to-label result provide insufficient...
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Chapter and Conference Paper
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network
The tumor microenvironment is a complex ecosystem consisting of various immune and stromal cells in addition to neoplastic cells. The spatial interaction and organization of these cells play a critical role in...
