Research on a YOLO v11-based model for pneumoperitoneum detection in X-ray imagesLIN Jiongbin, ZENG Weixiong, HU Peiqian, DENG Chuansong, ZHAN Hanqin, XING Peihua, HE Jingping, WANG Sina, CHEN Weiguo1057-1063
Impact of CT deep learning image reconstruction can reduce radiation dose and improve image quality:based on phantom studyFAN Lihua, LI Ming, JIA Yongjun, HAN Dong, YU Yong, ZHENG Yunsong, WEI Wei1064-1070
The construction of a Nomogram based on CT radiomics combined with clinical parameters can effectively differentiate non-small cell lung cancer from benign pulmonary lesionsHU Yindi, CHEN Aiqi, WEN Xinyuan, WANG Kai, ZOU Wentao, LI Yihan, YOU Xinnan, XIE Bo, WANG Yueyan, MA Yichuan1071-1077
Predictive value of ultrasound radiomics combined with clinical features for pathological complete response after neoadjuvant chemotherapy in breast cancerBU Wen, LI Yang, YANG Xinyi, ZHU Yun, LI Lu1078-1084
The imaging characteristics of diffuse midline glioma with H3K27 altered in childrenYANG Chunlan, CAO Juan, LIU Longping, XU Shoujun1085-1092
Clinical,radiographic manifestations and differential diagnosis of multiple renal hemangiomas:based on different renal functionsXU Ruomei, WU Zhifeng, WU Shan, GUO Dongqiang1093-1098
Prediction of PD-L1 expression in non-small cell lung cancer:a dual-phase integrated enhanced CT radiomics modelHAN Xinshu, MA Junli, SHAN Changping, WANG Xun, YANG Jundong, ZHANG Ziqiu, YE Shucheng1099-1108
The application of dual-flow injection technology combined with 70 kV low-dose scanning in head and neck CT angiographyWANG Yuzhu, CHEN Wen, LIU Chao, WANG Sai, CHEN Hengchang, WANG Guan, YANG Bo1109-1114
The value of multiphase contrast-enhanced CT in predicting high Ki-67 expression in gastrointestinal stromal tumorsPENG Gang, SHI Yuting, WU Yan, SUN Jihong1115-1120
The value of iterative model-based reconstruction techniques in optimising routine dose abdominal CT imagesSU Yeming, ZHANG Xintong, ZHANG Liuyang, YANG Chuangbo1121-1125