Explainable hybrid vision transformer-convolutional neural network with cross-attention fusion for multi-institutional breast cancer receptor status prediction from H&E histopathology images
- DOI
- 10.1177/00368504261504501
- Published
- 2026-10
- Container
- Science Progress
- Publisher
- SAGE Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/00368504261504501,
title = {Explainable hybrid vision transformer-convolutional neural network with cross-attention fusion for multi-institutional breast cancer receptor status prediction from H\&E histopathology images},
author = {Elham Saleh Albalawi and Jibran Qayyum and Junaid Qayyum},
year = {2026},
journal = {Science Progress},
doi = {10.1177/00368504261504501},
url = {https://doi.org/10.1177/00368504261504501}
}RIS
TY - JOUR TI - Explainable hybrid vision transformer-convolutional neural network with cross-attention fusion for multi-institutional breast cancer receptor status prediction from H&E histopathology images AU - Elham Saleh Albalawi AU - Jibran Qayyum AU - Junaid Qayyum PY - 2026 JO - Science Progress DO - 10.1177/00368504261504501 UR - https://doi.org/10.1177/00368504261504501 ER -
APA
Albalawi, E. S., Qayyum, J., & Qayyum, J. (2026). Explainable hybrid vision transformer-convolutional neural network with cross-attention fusion for multi-institutional breast cancer receptor status prediction from H&E histopathology images. Science Progress. https://doi.org/10.1177/00368504261504501
Source records
- crossref · retrieved 2026-11-06T04:31:48.527Z