A residual CNN using RGB, HSV, and CIELAB channels reports 99.29% accuracy and AUROC 0.9996 for IDC classification on a 7,500-image subset of the Kaggle breast histopathology dataset.
Invasive ductal carcinoma treatment,
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A Novel method for IDC Prediction in Breast Cancer Histopathology images using Deep Residual Neural Networks
A residual CNN using RGB, HSV, and CIELAB channels reports 99.29% accuracy and AUROC 0.9996 for IDC classification on a 7,500-image subset of the Kaggle breast histopathology dataset.