SwinMas: Shifted Windows and Mask Unit Attention with Auxiliary Supervision for Medical Image Segmentation
| dc.contributor.author | Lawal, Mohammed | |
| dc.contributor.author | Yi, Dewei | |
| dc.contributor.institution | University of Aberdeen.Natural & Computing Sciences | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2025-10-13T08:04:01Z | |
| dc.date.issued | 2026-03 | |
| dc.description | Open access via the Elsevier agreement | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 11 | |
| dc.format.extent | 2277785 | |
| dc.identifier | 309578685 | |
| dc.identifier | 35001a84-7d35-432a-8b49-2b517c19dc05 | |
| dc.identifier | 105018301352 | |
| dc.identifier.citation | Lawal, M & Yi, D 2026, 'SwinMas: Shifted Windows and Mask Unit Attention with Auxiliary Supervision for Medical Image Segmentation', Biomedical Signal Processing and Control, vol. 113, no. A, 108858. https://doi.org/10.1016/j.bspc.2025.108858 | en |
| dc.identifier.doi | 10.1016/j.bspc.2025.108858 | |
| dc.identifier.issn | 1746-8108 | |
| dc.identifier.other | ORCID: /0000-0003-1702-9136/work/194127860 | |
| dc.identifier.uri | https://hdl.handle.net/2164/26203 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Biomedical Signal Processing and Control | en |
| dc.subject | Substantive connection via an eligible employment contract | en |
| dc.subject | Deep learning | en |
| dc.subject | Generalization ability | en |
| dc.subject | Medical image processing | en |
| dc.subject | Segment anything | en |
| dc.subject | Semantic segmentation | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | QA75 | en |
| dc.title | SwinMas: Shifted Windows and Mask Unit Attention with Auxiliary Supervision for Medical Image Segmentation | en |
| dc.type | Journal article | en |
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