We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held ...
Recently, large, high-quality public datasets have led to the developmen...
Artificial Intelligence (AI) can potentially support histopathologists i...
We compare variational image registration in consectutive and re-stained...
Nuclear pleomorphism is the degree of change in nuclear morphology, one ...
We propose HookNet, a semantic segmentation model for histopathology
who...
Prostate cancer is the most prevalent cancer among men in Western countr...
We focus on the problem of training convolutional neural networks on
gig...
While the Gleason score is the most important prognostic marker for pros...
The Gleason score is the most important prognostic marker for prostate c...
Stain variation is a phenomenon observed when distinct pathology laborat...
We present Neural Image Compression (NIC), a method to reduce the size o...
Manual counting of mitotic tumor cells in tissue sections constitutes on...
Prostate cancer (PCa) is graded by pathologists by examining the
archite...
Automated classification of histopathological whole-slide images (WSI) o...
Tissue segmentation is an important pre-requisite for efficient and accu...