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Author

T. Haripriya

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Open access Aug 2026

An Interpretable Machine Learning Framework for Breast Cancer Diagnosis Using Statistical Feature Analysis and Ensemble Classification

A clear, statistically sound, yet easily understandable breast cancer diagnosis is a difficult issue in all healthcare systems, because early stages of breast cancer are critical in therapy success and long-term survivability. This machine-learning-based breast cancer classifier, in a statistically justified, rigorousl...

T. Haripriya, M. V. Ramana Murthy, Ch. Vasavi et al. · 0 citations
Open access Aug 2026

A hybrid hierarchical multimodal learning with autoencoders, vision transformers and deep belief networks for liver cancer detection

This research will add the presence of scalable, intelligent, and clinically relevant diagnostic architecture to facilitate timely responses and decision support systems to manage liver cancer.

T. Haripriya, K. Dharmarajan, Subrata Chowdhury et al. · 0 citations

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