Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Laurin Lux, Alexander H. Berger, Maria Romeo Tricas +8

Interpretability is crucial to enhance trust in machine learning models for medical diagnostics. However, most state-of-the-art image classifiers based on neural networks are not i…