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Conference Sep 2026

Machine Learning for Breast Cancer Diagnosis with BioGPT-Generated Clinical Explanations

Accurate Human Epidermal Growth Factor Receptor 2 (HER2) status assessment is important for breast cancer treatment selection, but machine learning systems for this task must address class imbalance and explainability before they can support clinical decision-making. This paper presents a compact hybrid framework for H...

Md Serajun Nabi, Md Saiful Arefin, Mohammad Faizal Ahmad Fauzi · 0 citations
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

The findings support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity, and support preliminary source-group-preserving methodological evidence rather than patient-level, whole-slide, or clinical validity.

Md Saiful Arefin, Mohammad Saiful Islam, Md Serajun Nabi et al. · 0 citations
Open access Jul 2026

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

By combining predictive ML, causal survival modeling, and LLM-based rationale generation, the proposed framework provides a promising approach for personalized and transparent chemotherapy decision support in oncology.

Md Serajun Nabi, Dema Yuden, Thinley Yeshey Choden et al. · 0 citations

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