Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention

分享到

【作者】Hui Qi, Zhen Wang, Xiaobo Qi, Ying Shi, Tianwu Xie
【刊名】Physics in medicine and biology
【作者单位】Affiliations ¹ Taiyuan Normal University, Taiyuan Normal University, Wujinshan Town, Yuci District, Jinzhong City, Shanxi Province, China., Taiyuan, 030619, CHINA. ² Taiyuan Normal University, Taiyuan Normal University, Wujinshan Town, Yuci District, Jinzhong City, Shanxi Province, China., Taiyuan, Shanxi , 030619, CHINA. ³ Fudan University, Institute of Radiation Medicine, Fudan University, No. 2094, Xietu Road, Shanghai, China., Shanghai, 200433, CHINA.
【年份】2024
【ISSN】1361-6560
【关键词】UNet++ dual attention image segmentation multiscale residuals renal tumor.
【摘要】 Objective: Laparoscopic renal unit-preserving resection is a routine and effective means of treating renal tumors. Image segmentation is an essential part before tumor resection. The current segmentation method mainly relies on doctors' manual deline...
【文献类型】期刊