Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network
| dc.contributor.author | Fawad Asadi | |
| dc.contributor.author | Thanate Angsuwatanakul | |
| dc.contributor.author | Jamie A O'Reilly | |
| dc.date.accessioned | 2025-07-21T06:10:30Z | |
| dc.date.issued | 2023-12-14 | |
| dc.identifier.doi | 10.1016/j.ibneur.2023.12.002 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/13116 | |
| dc.subject | Dice | |
| dc.subject | Synthetic data | |
| dc.subject | Fluid-attenuated inversion recovery | |
| dc.subject | Data set | |
| dc.subject.classification | Advanced Neural Network Applications | |
| dc.title | Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network | |
| dc.type | Article |