Comparative analysis of deep learning methods for oral cancer detection

Oral cancer is a serious global health concern, because of delayed diagnosis and limited access to early detection tools. Early detection is important to improving survival rates and reducing treatment complexity. Advancements in artificial intelligence, deep learning, and computer vision techniques have shown a high level of potential for automated medical image analysis. This study compares deep learning algorithms for oral cancer diagnosis with clinical images.