Oral mucosal disease recognition based on dynamic self-attention and feature discriminant loss

CONCLUSIONS: Convolutional neural networks can effectively capture the visual features of the oral mucosal disease lesions, and the distinguished visual features of different oral lesions can be extracted better using dynamic self-attention and feature discrimination loss function, which is conducive to the auxiliary diagnosis of oral mucosal diseases.PMID:37731172 | DOI:10.1111/odi.14732

Source: Cancer Control - September 21, 2023 Category: Cancer & Oncology Authors: Fei Xie Pengfei Xu Xinyi Xi Xiaokang Gu Panpan Zhang Hexu Wang Xuemin Shen Source Type: research