Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case.
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| Title: | Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case. |
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| Authors: | Medina S; MindLab Research Group, Universidad Nacional de Colombia, Bogotá, Colombia.; The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, United States of America., Romero E; Computer Imaging and Medical Applications Laboratory (CIM@LAB), Universidad Nacional de Colombia, Bogotá, Colombia., Cruz-Roa A; GITECX & AdaLab research groups, Universidad de los Llanos, Villavicencio, Colombia., González FA; MindLab Research Group, Universidad Nacional de Colombia, Bogotá, Colombia. |
| Source: | PloS one [PLoS One] 2025 Nov 05; Vol. 20 (11), pp. e0335826. Date of Electronic Publication: 2025 Nov 05 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0335826 |
