Deep Multiple-Instance Learning for predicting BRCA2 gene mutations from prostate cancer tissue scans
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Santos Silva, W.J. dos | |
dc.contributor.author | Bennekom, Sander van | |
dc.date.accessioned | 2025-04-20T23:01:12Z | |
dc.date.available | 2025-04-20T23:01:12Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/48862 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | In 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.title | Deep Multiple-Instance Learning for predicting BRCA2 gene mutations from prostate cancer tissue scans | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Artificial Intelligence | |
dc.thesis.id | 45115 |