331 citations · 341 across the 4 of their papers we have counts for
4 papers
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring
Royden Wagner, Karl Rohr
Volumetric cell segmentation in fluorescence microscopy images is important to study a wide variety of cellular processes. Applications range from the analysis of cancer cells to b…
Towards ultra-high resolution 3D reconstruction of a whole rat brain from 3D-PLI data
Sharib Ali, Martin Schober, Philipp Schlöme +3
3D reconstruction of the fiber connectivity of the rat brain at microscopic scale enables gaining detailed insight about the complex structural organization of the brain. We introd…
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos +30
Tumor proliferation is an important biomarker indicative of the prognosis of breast cancer patients. Assessment of tumor proliferation in a clinical setting is highly subjective an…
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…