Automated segmentation of various features of glioblastoma in histopathological images
| dc.contributor.author | Sedykh, Ekaterina | |
| dc.date.accessioned | 2022-07-01T07:48:47Z | |
| dc.date.available | 2022-07-01T07:48:47Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/10062/82990 | |
| dc.language.iso | eng | et |
| dc.rights | embargoedAccess | et |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | deep learning | et |
| dc.subject | glioblastoma | et |
| dc.subject | digital pathology | et |
| dc.subject | whole slide images | et |
| dc.subject | segmentation | et |
| dc.title | Automated segmentation of various features of glioblastoma in histopathological images | et |
| dc.type | Thesis | et |
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