Article-Journal

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

Neural Image Compression for Gigapixel Histopathology Image Analysis

Learning to detect lymphocytes in immunohistochemistry with deep learning

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer

A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach.

From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge