26 citations · 67 across the 5 of their papers we have counts for
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q-bio.QM2023★ 4 cited
Transcriptome-supervised classification of tissue morphology using deep learning
Axel Andersson, Gabriele Partel, Leslie Solorzano +1
Deep learning has proven to successfully learn variations in tissue and cell morphology. Training of such models typically relies on expensive manual annotations. Here we conjectur…
eess.IV2023★ 23 cited
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue
Philippe Weitz, Masi Valkonen, Leslie Solorzano +38
The alignment of tissue between histopathological whole-slide-images (WSI) is crucial for research and clinical applications. Advances in computing, deep learning, and availability…