Publication:
Deep learning models for predicting molecular tumor properties directly from whole slide images
Date
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-6653-4094 | |
| cris.virtualsource.department | 2fc78822-ef0d-408a-97d5-304fddaf1af6 | |
| cris.virtualsource.orcid | 2fc78822-ef0d-408a-97d5-304fddaf1af6 | |
| dc.contributor.advisor | Marchal, Kathleen | |
| dc.contributor.advisor | Demeester, Thomas | |
| dc.contributor.author | Pizurica, Marija | |
| dc.date.accessioned | 2026-07-09T12:36:45Z | |
| dc.date.available | 2026-07-09T12:36:45Z | |
| dc.date.issued | 2026 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/59792 | |
| dc.provenance.editstepuser | greet.vanhoof@imec.be | |
| dc.title | Deep learning models for predicting molecular tumor properties directly from whole slide images | |
| dc.type | PHD thesis | |
| dspace.entity.type | Publication | |
| Files | Original bundle
| |
| Publication available in collections: |