Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision.
- DOI
- 10.1038/s41598-026-39196-x
- Published
- 2026 Mar 2
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-39196-x,
title = {Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision.},
author = {Butt NA and Sarwat D and Noya ID and Tutusaus K and Samee NA and Ashraf I},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-39196-x},
url = {https://doi.org/10.1038/s41598-026-39196-x}
}RIS
TY - JOUR TI - Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision. AU - Butt NA AU - Sarwat D AU - Noya ID AU - Tutusaus K AU - Samee NA AU - Ashraf I PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-39196-x UR - https://doi.org/10.1038/s41598-026-39196-x ER -
APA
NA, B., D, S., ID, N., K, T., NA, S., & I, A. (2026). Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision.. Scientific reports. https://doi.org/10.1038/s41598-026-39196-x
Source records
- pubmed · retrieved 2026-09-25T17:59:45.090Z