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Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks.

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Bibliographic Details
Title: Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks.
Authors: Azim SM; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08103, USA. sayedmehedi.azim@rutgers.edu., Kumar R; Department of Biology, Rutgers University, Camden, NJ, 08103, USA., Corbett B; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08103, USA.; Department of Biology, Rutgers University, Camden, NJ, 08103, USA., Dehzangi I; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08103, USA. i.dehzangi@rutgers.edu.; Department of Computer Science, Rutgers University, Camden, NJ, 08103, USA. i.dehzangi@rutgers.edu.; Rutgers Cancer Institute, Rutgers University, New Brunswick, NJ, 08901, USA. i.dehzangi@rutgers.edu.
Source: Scientific reports [Sci Rep] 2026 May 28. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-50475-5