Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images

• Accurate diagnosis of high-risk benign breast lesions is crucial since they are associated with an increased risk of invasive breast cancer development. • Since it is not yet possible to identify the occult cancer patients without surgery, this limitation leads to retrospectively unnecessary surgeries. • Here, we present a computational pathology pipeline for histological diagnosis of high-risk benign breast lesions from whole slide images (WSIs). • Our computational pathology pipeline includes: • WSI stain color normalization, • Ductal regions of interest (ROIs) segmentation, and • Cytological and Architectural feature extraction to classify ductal ROIs into triaged high-risk benign lesions. • We curated 93 WSIs of breast tissues containing high-risk benign lesions. • Ground truth annotations collected from 3 pathologists. • Our method has comparable performance to expert pathologists.