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...