Machine Learning–Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma
Jiliang RenDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai 2000010, ChinaMeng QiDepartment of Radiology, Eye and ENT Hospital of Shanghai Medical School, Fudan University, Shanghai, ChinaYing YuanDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai 2000010, ChinaShaofeng DuanGE Healthcare China, Shanghai, ChinaXiaofeng TaoDepartment of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Rd, Shanghai 2000010, China
2020en
ABI
Abstract
ML-based MRI texture analysis provides a promising noninvasive approach for predicting the histologic grade of OSCC.
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