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Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning

IEEE Access(2025)10.1109/access.2025.3593420Source: DataRank Database

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning is a research paper published in IEEE Access (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (2 grants)OA: goldTopics (3)IDs (PubMed, PMC)

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Authors (6)

Luz García ORCID,Lee Cooper ORCID,Jeffrey A. Goldstein ORCID,Rafael Molina ORCID,Aggelos K. Katsaggelos ORCID

Live enrichment

PubMed:41098231 PMC:PMC12520607

NLM NIH HHS

Grant: R01 LM013523

NIBIB NIH HHS

Grant: K08 EB030120

goldLicense: cc-by

publisherhttps://doi.org/10.1109/access.2025.3593420

publisherhttp://xplorestaging.ieee.org/ielx8/6287639/10820123/11098836.pdf?arnumber=11098836

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12520607/pdf/nihms-2101620.pdf

repositoryhttps://doaj.org/article/d59532d3f27648c7acac265ee56ae2d6

Europe_PMChttps://europepmc.org/articles/PMC12520607

Keywords

Multiple Instance LearningVariational AutoencoderOut-of-distribution Detection