Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden
| dc.contributor.author | Mckone, Joshua E. | |
| dc.contributor.author | Lambrou, Tryphon | |
| dc.contributor.author | Ye, Xujiong | |
| dc.contributor.author | Brown, James M. | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2024-08-16T11:30:01Z | |
| dc.date.available | 2024-08-16T11:30:01Z | |
| dc.date.issued | 2024-06-20 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 1794779 | |
| dc.identifier | 291629164 | |
| dc.identifier | a32b932f-58b5-4d0d-b5d7-6c5c30d5137a | |
| dc.identifier | 85197392326 | |
| dc.identifier.citation | Mckone, J E, Lambrou, T, Ye, X & Brown, J M 2024, 'Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden', Frontiers in Computer Science, vol. 6, 1386514. https://doi.org/10.3389/fcomp.2024.1386514 | en |
| dc.identifier.doi | 10.3389/fcomp.2024.1386514 | |
| dc.identifier.issn | 2624-9898 | |
| dc.identifier.other | ORCID: /0000-0003-2899-5815/work/165792417 | |
| dc.identifier.uri | https://hdl.handle.net/2164/24046 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85197392326&partnerID=8YFLogxK | en |
| dc.identifier.vol | 6 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Frontiers in Computer Science | en |
| dc.subject | brain tumor | en |
| dc.subject | deep learning | en |
| dc.subject | image segmentation | en |
| dc.subject | RANO | en |
| dc.subject | weak supervision | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Computer Science (miscellaneous) | en |
| dc.subject | Computer Vision and Pattern Recognition | en |
| dc.subject | Computer Science Applications | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Mckone_etal_FiCS_Weakly_Supervised_Pre-training_VOR.pdf
- Size:
- 1.71 MB
- Format:
- Adobe Portable Document Format
