G. Jour

MetFinder: a neural network-based tool for automated quantitation of metastatic burden in histological sections from animal models

MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.

A Deep Learning Approach for Rapid Mutational Screening in Melanoma

This paper develops a deep learning model to detect BRAF mutations in melanoma histopathology images using whole slide images from 256 patients, achieving AUC scores of 0.96 and 0.72.