Melania Ardelean

Lightweight and Explainable Deep Learning Framework for Endoscopic Lesion Classification with Segmentation and Transfer Learning

This study integrates segmentation, transfer learning, and clinical validation to present a lightweight deep learning architecture for endoscopic lesion categorization that dramatically reduces latency and parameter count while achieving competitive accuracy when compared to more sophisticated models.