173 citations · 173 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer
Sarah S. L. Chow, Rui Wang, Robert B. Serafin +10
Diagnostic grading of prostate cancer (PCa) relies on the examination of 2D histology sections. However, the limited sampling of specimens afforded by 2D histopathology, and ambigu…
eess.IV2020★ 173 cited
Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17
While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…