Comprehensive Benchmarking of Deep Learning Architectures for Lung Cancer Histopathology
This study presents a two-stage deep learning framework for multi-class tissue classification and pixel-level histopathological region segmentation, accompanied by a systematic comparison of state-of-the-art architectures at each stage.