MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms.
- DOI
- 10.3390/tomography12090130
- Published
- 2026 Sep 10
- Container
- Tomography (Ann Arbor, Mich.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/tomography12090130,
title = {MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms.},
author = {Lakshmi Prasanthi NRS and Rao NT and Kumar SD},
year = {2026},
journal = {Tomography (Ann Arbor, Mich.)},
doi = {10.3390/tomography12090130},
url = {https://doi.org/10.3390/tomography12090130}
}RIS
TY - JOUR TI - MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms. AU - Lakshmi Prasanthi NRS AU - Rao NT AU - Kumar SD PY - 2026 JO - Tomography (Ann Arbor, Mich.) DO - 10.3390/tomography12090130 UR - https://doi.org/10.3390/tomography12090130 ER -
APA
NRS, L. P., NT, R., & SD, K. (2026). MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms.. Tomography (Ann Arbor, Mich.). https://doi.org/10.3390/tomography12090130
Source records
- pubmed · retrieved 2026-09-25T08:30:04.944Z