activity
20242026
most citedAutomating RT Planning at Scale: High Quality Data For AI Training

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2024

Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation

H. S. Tan, Kuancheng Wang, Rafe Mcbeth

In this work, we study various hybrid models of entropy-based and representativeness sampling techniques in the context of active learning in medical segmentation, in particular ex…