721 citations · 1.7k across the 6 of their papers we have counts for
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cs.CV2018★ 154 cited
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
Wouter Bulten, Péter Bándi, Jeffrey Hoven +7
Prostate cancer (PCa) is graded by pathologists by examining the architectural pattern of cancerous epithelial tissue on hematoxylin and eosin (H&E) stained slides. Given the impor…
cs.CV2018★ 19 cited
Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders
Wouter Bulten, Geert Litjens
We propose an unsupervised method using self-clustering convolutional adversarial autoencoders to classify prostate tissue as tumor or non-tumor without any labeled training data.…