11 citations · 11 across the 1 of their papers we have counts for
2 papers
eess.IV2020
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images
Sanghoon Lee, Colton Farley, Simon Shim +3
Detecting cancer manually in whole slide images requires significant time and effort on the laborious process. Recent advances in whole slide image analysis have stimulated the gro…
q-bio.QM2020★ 11 cited
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
Sanghoon Lee, Mohamed Amgad, Deepak R. Chittajallu +6
Extracting quantitative phenotypic information from whole-slide images presents significant challenges for investigators who are not experienced in developing image analysis algori…