Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation.
- DOI
- 10.3390/diagnostics16172752
- Published
- 2026 Aug 27
- Container
- Diagnostics (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics16172752,
title = {Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation.},
author = {Arefin MS and Islam MS and Nabi MS and Sumon RI and Lapina M and Lapin V and Muthanna M},
year = {2026},
journal = {Diagnostics (Basel, Switzerland)},
doi = {10.3390/diagnostics16172752},
url = {https://doi.org/10.3390/diagnostics16172752}
}RIS
TY - JOUR TI - Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation. AU - Arefin MS AU - Islam MS AU - Nabi MS AU - Sumon RI AU - Lapina M AU - Lapin V AU - Muthanna M PY - 2026 JO - Diagnostics (Basel, Switzerland) DO - 10.3390/diagnostics16172752 UR - https://doi.org/10.3390/diagnostics16172752 ER -
APA
MS, A., MS, I., MS, N., RI, S., M, L., V, L., & M, M. (2026). Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16172752
Source records
- pubmed · retrieved 2026-11-10T21:08:07.881Z