Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

por Li, Qiong, Qi, Liang, Feng, Qiu-Xia, Liu, Chang, Sun, Shu-Wen, Zhang, Jing, Yang, Guang, Ge, Ying-Qian, Zhang, Yu-Dong, Liu, Xi-Sheng
Publicado 2019

(18)F-fluorodeoxyglucose positron emission tomography/computed tomography-based radiomic features for prediction of epidermal growth factor receptor mutation status and prognosis i...

por Yang, Bin, Ji, Heng-Shan, Zhou, Chang-Sheng, Dong, Hao, Ma, Lu, Ge, Ying-Qian, Zhu, Chao-Hui, Tian, Jia-He, Zhang, Long-Jiang, Zhu, Hong, Lu, Guang-Ming
Publicado 2020

Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung canc...

por Yang, Bin, Zhou, Li, Zhong, Jing, Lv  , Tangfeng, Li, Ang, Ma, Lu, Zhong, Jian, Yin, Saisai, Huang, Litang, Zhou, Changsheng, Li, Xinyu, Ge, Ying Qian, Tao, Xinwei, Zhang, Longjiang, Son, Yong, Lu, Guangming
Publicado 2021