Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks
From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images