Author

M. Nabi

2 papers indexed here

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Open access Aug 2026

Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation

Background/Objectives: Estrogen receptor immunohistochemistry (ER-IHC) exhibits heterogeneous staining and substantial class imbalance, complicating segmentation of ordered expression categories. We evaluated whether class weighting, minority-focused crop sampling, adaptive minority curriculum (AMC), and Focal–Tversky...

Md Saiful Arefin, Mohammad Saiful Islam, M. Nabi et al. · Diagnostics · 0 citations

Open access Jul 2026

Machine learning for chemotherapy decision-making in breast cancer using large language model

Introduction Breast cancer chemotherapy decision-making remains challenging due to biological heterogeneity and variability in clinical practice. This study proposes a hybrid framework integrating machine learning (ML), causal reasoning, and large language models (LLMs) to improve treatment recommendations. Methods Usi...

U. Aickelin, Tekoshin Ammo, M. Nabi et al. · Frontiers in Digital Health · 0 citations