【作者单位】1Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China;2Department of Pediatrics, Jiahui International Hospital, Shanghai, China;3School of Computer Science and Technology, Taiyuan Normal University, Taiyuan, China;4Institute of Radiation Medicine, Fudan University, Shanghai, China
【年份】2023
【卷号】Vol.13
【关键词】automatic segmentation contrast-enhanced ultrasound renal tumors deep learning UNet
【摘要】 ObjectiveTo investigate the feasibility and efficiency of automatic segmentation of contrast-enhanced ultrasound images in renal tumors by convolutional neural network based models and their further application in radiomic analysis.Materials and me...
