Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study

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dc.contributor.authorKaragoz, Ahmet
dc.contributor.authorAlis, Deniz
dc.contributor.authorSeker, Mustafa Ege
dc.contributor.authorZeybel, Gokberk
dc.contributor.authorYergin, Mert
dc.contributor.authorOksuz, Ilkay
dc.contributor.authorKaraarslan, Ercan
dc.date.accessioned2025-10-16T15:15:06Z
dc.date.issued2023
dc.identifier.doi10.1186/s13244-023-01439-0
dc.identifier.otherWOS:001015034300002
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/6369
dc.publisherSPRINGER WIEN
dc.sourceINSIGHTS INTO IMAGING
dc.subjectDeep learning
dc.subjectMagnetic resonance imaging
dc.subjectProstate cancer
dc.titleAnatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study
dc.typeArticle

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