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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorSantos Silva, W.J. dos
dc.contributor.authorBennekom, Sander van
dc.date.accessioned2025-04-20T23:01:12Z
dc.date.available2025-04-20T23:01:12Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/48862
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn my project, I made an attempt to develop a binary Whole-Slide Image classifier for separating prostate cancer patients with and without a pathogenic mutation in the BRCA2.
dc.titleDeep Multiple-Instance Learning for predicting BRCA2 gene mutations from prostate cancer tissue scans
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuArtificial Intelligence
dc.thesis.id45115


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