A Hybrid CNN-Transformer Deep Learning Model for Differentiating Benign and Malignant Breast Tumors Using Multi-View Ultrasound Images.
- DOI
- 10.1177/15330338261447344
- Published
- 2026 Jan-Dec
- Container
- Technology in cancer research & treatment
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/15330338261447344,
title = {A Hybrid CNN-Transformer Deep Learning Model for Differentiating Benign and Malignant Breast Tumors Using Multi-View Ultrasound Images.},
author = {Zhang Q and Li R and Tang P and Zhang J and Yang G and Lin Z and Zhang M and Chen M},
year = {2026},
journal = {Technology in cancer research \& treatment},
doi = {10.1177/15330338261447344},
url = {https://doi.org/10.1177/15330338261447344}
}RIS
TY - JOUR TI - A Hybrid CNN-Transformer Deep Learning Model for Differentiating Benign and Malignant Breast Tumors Using Multi-View Ultrasound Images. AU - Zhang Q AU - Li R AU - Tang P AU - Zhang J AU - Yang G AU - Lin Z AU - Zhang M AU - Chen M PY - 2026 JO - Technology in cancer research & treatment DO - 10.1177/15330338261447344 UR - https://doi.org/10.1177/15330338261447344 ER -
APA
Q, Z., R, L., P, T., J, Z., G, Y., Z, L., M, Z., & M, C. (2026). A Hybrid CNN-Transformer Deep Learning Model for Differentiating Benign and Malignant Breast Tumors Using Multi-View Ultrasound Images.. Technology in cancer research & treatment. https://doi.org/10.1177/15330338261447344
Source records
- pubmed · retrieved 2026-09-26T18:49:30.068Z