W. Bulten

Latest

• Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels.
• Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study
• 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
• 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