A multi-sequences MRI deep framework study applied to glioma classfication
| dc.contributor.author | Matthieu Coupet | |
| dc.contributor.author | Thierry Urruty | |
| dc.contributor.author | Teerapong Leelanupab | |
| dc.contributor.author | Mathieu Naudin | |
| dc.contributor.author | Pascal Bourdon | |
| dc.contributor.author | C. Fernandez Maloigne | |
| dc.contributor.author | Rémy Guillevin | |
| dc.date.accessioned | 2026-05-08T19:15:29Z | |
| dc.date.issued | 2022-2-28 | |
| dc.identifier.doi | 10.1007/s11042-022-12316-1 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/15062 | |
| dc.publisher | Multimedia Tools and Applications | |
| dc.subject | Brain Tumor Detection and Classification | |
| dc.subject | Advanced Neural Network Applications | |
| dc.subject | Cell Image Analysis Techniques | |
| dc.title | A multi-sequences MRI deep framework study applied to glioma classfication | |
| dc.type | Article |