This study aimed to develop machine learning models to predict phosphorylated mesenchymal-epithelial transition factor (p-MET) expression in oral tongue squamous cell carcinoma (OTSCC) using magnetic resonance imaging (MRI)-derived texture features and clinical features.
Source: Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics – Category: ENT & OMF Authors: Gongxin Yang, Zebin Xiao, Jiliang Ren, RongHui Xia, Yingwei Wu, Ying Yuan, Xiaofeng Tao Source Type: research
