A robust, clinical-potential hybrid digital measurement framework for precise and interpretable quantification of breast cancer malignancy: Fusion stacking ensemble with SHAP explainability and visual uncertainty reduction
- DOI
- 10.1016/j.fraope.2026.100659
- Published
- 2026-09
- Container
- Franklin Open
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.fraope.2026.100659,
title = {A robust, clinical-potential hybrid digital measurement framework for precise and interpretable quantification of breast cancer malignancy: Fusion stacking ensemble with SHAP explainability and visual uncertainty reduction},
author = {Alireza Yahhyaei and Mohammad Arabian},
year = {2026},
journal = {Franklin Open},
doi = {10.1016/j.fraope.2026.100659},
url = {https://doi.org/10.1016/j.fraope.2026.100659}
}RIS
TY - JOUR TI - A robust, clinical-potential hybrid digital measurement framework for precise and interpretable quantification of breast cancer malignancy: Fusion stacking ensemble with SHAP explainability and visual uncertainty reduction AU - Alireza Yahhyaei AU - Mohammad Arabian PY - 2026 JO - Franklin Open DO - 10.1016/j.fraope.2026.100659 UR - https://doi.org/10.1016/j.fraope.2026.100659 ER -
APA
Yahhyaei, A., & Arabian, M. (2026). A robust, clinical-potential hybrid digital measurement framework for precise and interpretable quantification of breast cancer malignancy: Fusion stacking ensemble with SHAP explainability and visual uncertainty reduction. Franklin Open. https://doi.org/10.1016/j.fraope.2026.100659
Source records
- crossref · retrieved 2026-09-26T08:34:09.081Z