Application of artificial intelligence in imaging for tumor diagnosis and treatmentLIU Zaiyi, LU Cheng257-259
Preoperative prediction of visceral pleural invasion in non-small cell lung cancer based on contrast-enhanced CT radiomicsLIANG Junjun, CHEN Xiaobo, HU Hengxiao, WANG Kuanhong, CHEN Xin260-266,305
The value of CT imaging morphological features for preoperative prediction of immune phenotypes in lung adenocarcinomaMO Ziyang, LIN Huan, LIANG Yanting, PAN Xipeng, FENG Zhengyun, LIU Zaiyi267-273
The value of CT-based radiomics models in differentiating adrenal adenoma subtypesWU Chunmei, LI Xuanang, WANG Weicheng, XUE Linyan, YIN Xiaoping274-279,287
Early prediction of chemotherapy response in colorectal cancer liver metastasis based on clinical and CT radiomics modelsYUAN Long, LI Shenglin, LU Ting, XU Min, YANG Jingjing, XI Huaze, ZHOU Junlin280-287
The predictive value of an ultrasound-based deep learning model for HER2 expression of breast cancerYU Naqian, LIU Yu, YAO Mengxia, HUANG Chunwang, WU Lei, WANG Ying288-293
Progress in the application of artificial intelligence-based imaging in the diagnosis and treatment of lung cancerRAN Shanshan, CHEN Jiaqing, LUO Chaofen, WANG Siqi294-299
Research progress in radiomics-based prediction of microvascular invasion in primary hepatocellular carcinoma using CT and MRI imagesYAN Xin, ZHAO Jianhua300-305
Research progress of radiomics and radiogenomics in predicting the molecular subtypes of breast cancerGENG Tian, WU Zeqi, QIN Genggeng, HE Zilong306-309
Application progress of artificial intelligence in the ultrasound diagnosis and treatment of breast cancerZHANG Xiaoting, JIANG Liu310-313