DenseUNet for Breast Cancer Segmentation in Histopathological Images.
- DOI
- 10.4103/jmss.jmss_83_25
- Published
- 2026
- Container
- Journal of medical signals and sensors
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.4103/jmss.jmss_83_25,
title = {DenseUNet for Breast Cancer Segmentation in Histopathological Images.},
author = {Rasi H and Ebrahimnezhad H and Sedaaghi MH},
year = {2026},
journal = {Journal of medical signals and sensors},
doi = {10.4103/jmss.jmss_83_25},
url = {https://doi.org/10.4103/jmss.jmss_83_25}
}RIS
TY - JOUR TI - DenseUNet for Breast Cancer Segmentation in Histopathological Images. AU - Rasi H AU - Ebrahimnezhad H AU - Sedaaghi MH PY - 2026 JO - Journal of medical signals and sensors DO - 10.4103/jmss.jmss_83_25 UR - https://doi.org/10.4103/jmss.jmss_83_25 ER -
APA
H, R., H, E., & MH, S. (2026). DenseUNet for Breast Cancer Segmentation in Histopathological Images.. Journal of medical signals and sensors. https://doi.org/10.4103/jmss.jmss_83_25
Source records
- pubmed · retrieved 2026-09-25T13:18:38.385Z
- europe-pmc · retrieved 2026-09-25T13:18:38.385Z
- doaj · retrieved 2026-09-25T13:18:38.408Z