Unsupervised learning for labeling global glomerulosclerosis.
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| Title: | Unsupervised learning for labeling global glomerulosclerosis. |
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| Authors: | Weishaupt H; Department of Pathology, Haukeland University Hospital, Bergen, 5021, Norway. Electronic address: hrafn.holger.weishaupt@helse-bergen.no., Besusparis J; Department of Pathology, Haukeland University Hospital, Bergen, 5021, Norway., Weis CA; Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Mannheim, 68167, Germany., Porubsky S; Institute of Pathology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, 55131, Germany., Laurinavičius A; Translational Health Research Institute, Faculty of Medicine, Vilnius University, Vilnius, LT-03101, Lithuania; National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Clinics, Vilnius, LT-08406, Lithuania., Leh S; Department of Pathology, Haukeland University Hospital, Bergen, 5021, Norway; Department of Clinical Medicine, University of Bergen, Bergen, 5021, Norway. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2025 Sep; Vol. 196 (Pt B), pp. 110719. Date of Electronic Publication: 2025 Aug 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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