Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
Automated Gleason Grading of Prostate Biopsies Using Deep Learning
Automated Gleason Grading of Prostate Biopsies using Deep Learning
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
High resolution whole prostate biopsy classification using streaming stochastic gradient descent
Automated segmentation of epithelial tissue in prostatectomy slides using deep learning
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders