Lesion Segmentation from Imperfect Medical Data via Weakly Supervised Learning with SAM and Explainable Vision Transformer.
- DOI
- 10.1109/jbhi.2026.3737415
- Published
- 2026 Sep 24
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3737415,
title = {Lesion Segmentation from Imperfect Medical Data via Weakly Supervised Learning with SAM and Explainable Vision Transformer.},
author = {Zaheer AN and Suirong C and Farhan M and Ahmad A and Jabbar S and Kamal S and Menshawi A},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2026.3737415},
url = {https://doi.org/10.1109/jbhi.2026.3737415}
}RIS
TY - JOUR TI - Lesion Segmentation from Imperfect Medical Data via Weakly Supervised Learning with SAM and Explainable Vision Transformer. AU - Zaheer AN AU - Suirong C AU - Farhan M AU - Ahmad A AU - Jabbar S AU - Kamal S AU - Menshawi A PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2026.3737415 UR - https://doi.org/10.1109/jbhi.2026.3737415 ER -
APA
AN, Z., C, S., M, F., A, A., S, J., S, K., & A, M. (2026). Lesion Segmentation from Imperfect Medical Data via Weakly Supervised Learning with SAM and Explainable Vision Transformer.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3737415
Source records
- pubmed · retrieved 2026-09-25T23:54:09.379Z