Advancing breast cancer diagnosis through ultrasound imaging: A cross-attention multi-scale vision transformer approach with comparative analysis against ResNet architectures.

Byeon H

Open source

DOI
10.1097/md.0000000000049226
Published
2026 Jun 26
Container
Medicine
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1097/md.0000000000049226,
  title = {Advancing breast cancer diagnosis through ultrasound imaging: A cross-attention multi-scale vision transformer approach with comparative analysis against ResNet architectures.},
  author = {Byeon H},
  year = {2026},
  journal = {Medicine},
  doi = {10.1097/md.0000000000049226},
  url = {https://doi.org/10.1097/md.0000000000049226}
}

RIS

TY  - JOUR
TI  - Advancing breast cancer diagnosis through ultrasound imaging: A cross-attention multi-scale vision transformer approach with comparative analysis against ResNet architectures.
AU  - Byeon H
PY  - 2026
JO  - Medicine
DO  - 10.1097/md.0000000000049226
UR  - https://doi.org/10.1097/md.0000000000049226
ER  - 

APA

H, B. (2026). Advancing breast cancer diagnosis through ultrasound imaging: A cross-attention multi-scale vision transformer approach with comparative analysis against ResNet architectures.. Medicine. https://doi.org/10.1097/md.0000000000049226

Source records