most citedAutomated Gleason Grading of Prostate Biopsies using Deep Learning

721 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

eess.IV2020★ 173 cited

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17

While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…

cs.CV2019★ 109 cited

Streaming convolutional neural networks for end-to-end learning with multi-megapixel images

Hans Pinckaers, Bram van Ginneken, Geert Litjens

Due to memory constraints on current hardware, most convolution neural networks (CNN) are trained on sub-megapixel images. For example, most popular datasets in computer vision con…

eess.IV2019★ 721 cited

Automated Gleason Grading of Prostate Biopsies using Deep Learning

Wouter Bulten, Hans Pinckaers, Hester van Boven +6

The Gleason score is the most important prognostic marker for prostate cancer patients but suffers from significant inter-observer variability. We developed a fully automated deep…