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A. Chaudhuri

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Open access Oct 2026

AJAD-BoostNet: A Hybrid Deep K-Means and XGBoost Framework for Automated Cancer Histopathological Image Classification

Cervical and lung cancers remain among the leading causes of cancer-related mortality worldwide. This highlights the need for accurate, scalable, and computationally efficient computer-aided diagnostic systems. Deep learning has shown remarkable success in histopathological image analysis. However, most existing approa...

A. Chaudhuri, Pramoda Patro, Payel Sengupta et al. · 0 citations

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