activity
20172022
most citedPredicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

331 citations · 341 across the 4 of their papers we have counts for

collaborators
Showing 2017 · cs.CVShow all

1 paper · 2 filters

cs.CV2017★ 8 cited

Automatic breast cancer grading in lymph nodes using a deep neural network

Thomas Wollmann, Karl Rohr

The progression of breast cancer can be quantified in lymph node whole-slide images (WSIs). We describe a novel method for effectively performing classification of whole-slide imag…