Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.

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Bibliographic Details
Title: Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.
Authors: Medina, Sebastian1,2 (AUTHOR), Romero, Eduardo3 (AUTHOR), Cruz-Roa, Angel4 (AUTHOR), González, Fabio A.1 (AUTHOR) fagonzalezo@unal.edu.co
Source: PLoS ONE. 11/5/2025, Vol. 20 Issue 11, p1-20. 20p.
Database: Academic Search Ultimate
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ISSN:19326203
DOI:10.1371/journal.pone.0335826