most citedNuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

117 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

q-bio.QM2022★ 41 cited

Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers

Nathaniel Braman, Prateek Prasanna, Kaustav Bera +14

Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in…

eess.IV2021★ 117 cited

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

Mohamed Amgad, Lamees A. Atteya, Hagar Hussein +34

High-resolution mapping of cells and tissue structures provides a foundation for developing interpretable machine-learning models for computational pathology. Deep learning algorit…