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

no code implementations • 16 Dec 2023 • 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 examining the role of UMAP (Uniform Manifold Approximation and Projection) as a technique for capturing representativeness.

Active Learning Dimensionality Reduction +1