A novel image segmentation network with multi-scale and flow-guided attention for early screening of vaginal intraepithelial neoplasia (VAIN).
- DOI
- 10.1002/mp.18041
- Published
- 2025 Aug
- Container
- Medical physics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/mp.18041,
title = {A novel image segmentation network with multi-scale and flow-guided attention for early screening of vaginal intraepithelial neoplasia (VAIN).},
author = {Li J and Xia W and Lu J and Liu J and Qiu L and Shi Z and Song Y and Li Y and Zhang D and Yang H and Fu L},
year = {2025},
journal = {Medical physics},
doi = {10.1002/mp.18041},
url = {https://doi.org/10.1002/mp.18041}
}RIS
TY - JOUR TI - A novel image segmentation network with multi-scale and flow-guided attention for early screening of vaginal intraepithelial neoplasia (VAIN). AU - Li J AU - Xia W AU - Lu J AU - Liu J AU - Qiu L AU - Shi Z AU - Song Y AU - Li Y AU - Zhang D AU - Yang H AU - Fu L PY - 2025 JO - Medical physics DO - 10.1002/mp.18041 UR - https://doi.org/10.1002/mp.18041 ER -
APA
J, L., W, X., J, L., J, L., L, Q., Z, S., Y, S., Y, L., D, Z., H, Y., & L, F. (2025). A novel image segmentation network with multi-scale and flow-guided attention for early screening of vaginal intraepithelial neoplasia (VAIN).. Medical physics. https://doi.org/10.1002/mp.18041
Source records
- pubmed · retrieved 2026-09-25T06:52:59.543Z