Deep Learning Model for Invasive Ductal Carcinoma Detection in Histopathology Images
A computer-aided diagnosis pipeline for invasive ductal carcinoma that pairs sliding-window heatmaps with a homogeneous-region oversampling technique, preserving biological structure while correcting class imbalance. State-of-the-art on the public benchmark.
89.06%
Balanced accuracy
86.68%
F1 score
SOTA
vs. prior literature