activity
20172020
most citedContext-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

7 citations · 7 across the 1 of their papers we have counts for

collaborators

7 papers

eess.IV2020

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

Hans Pinckaers, Wouter Bulten, Jeroen van der Laak +1

Prostate cancer is the most prevalent cancer among men in Western countries, with 1.1 million new diagnoses every year. The gold standard for the diagnosis of prostate cancer is a…

eess.IV2020

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…

eess.IV2019

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…

cs.CV2018

Neural Image Compression for Gigapixel Histopathology Image Analysis

David Tellez, Geert Litjens, Jeroen van der Laak +1

We propose Neural Image Compression (NIC), a two-step method to build convolutional neural networks for gigapixel image analysis solely using weak image-level labels. First, gigapi…

cs.CV2018

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks

David Tellez, Maschenka Balkenhol, Irene Otte-Holler +10

Manual counting of mitotic tumor cells in tissue sections constitutes one of the strongest prognostic markers for breast cancer. This procedure, however, is time-consuming and erro…

cs.CV2018

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…