日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

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

结合计算机断层扫描成像放射组学和临床病理特征预测肺癌免疫检查点抑制剂的临床获益

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

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

(18)F-氟代脱氧葡萄糖正电子发射断层扫描/计算机断层扫描放射组学特征预测肺腺癌患者的表皮生长因子受体突变状态和预后

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

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

基于大规模放射影像组学图像的机器学习计算模型有助于预测胃癌的不良组织病理学状态

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