Critical considerations for the use of deep learning models in clinical oncology prediction

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dc.contributor.authorZhao D.
dc.contributor.correspondenceZhao D.
dc.contributor.otherMahidol University
dc.date.accessioned2026-03-15T18:21:13Z
dc.date.available2026-03-15T18:21:13Z
dc.date.issued2026-01-01
dc.identifier.citationFrontiers in Oncology Vol.16 (2026)
dc.identifier.doi10.3389/fonc.2026.1730967
dc.identifier.eissn2234943X
dc.identifier.scopus2-s2.0-105032209906
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/115700
dc.rights.holderSCOPUS
dc.subjectBiochemistry, Genetics and Molecular Biology
dc.subjectMedicine
dc.titleCritical considerations for the use of deep learning models in clinical oncology prediction
dc.typeNote
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105032209906&origin=inward
oaire.citation.titleFrontiers in Oncology
oaire.citation.volume16
oairecerif.author.affiliationMahidol University

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