A5102960841- Digital Imaging for Blood Diseases
- Retinal Imaging and Analysis
- Medical Image Segmentation Techniques
- Anomaly Detection Techniques and Applications
- COVID-19 diagnosis using AI
- Advanced Neural Network Applications
- Adversarial Robustness in Machine Learning
Beihang University
2019-2021
Though deep learning has shown successful performance in classifying the label and severity stage of certain diseases, most them give few explanations on how to make predictions. Inspired by Koch's Postulates, foundation evidence-based medicine (EBM) identify pathogen, we propose exploit interpretability application medical diagnosis. By isolating neuron activation patterns from a diabetic retinopathy (DR) detector visualizing them, can determine symptoms that DR identifies as evidence...
Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most them give few evidence on how to make prediction. Here, we propose exploit interpretability application medical diagnosis. Inspired by Koch’s Postulates, a well-known strategy research identify property pathogen, define pathological descriptor that can be extracted from activated neurons diabetic retinopathy detector. To visualize symptom feature encoded this descriptor,...