Ultrasound image segmentation using Gamma combined with Bayesian model for focused-ultrasound-surgery lesion recognition.

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作者： Quan,Zhang ^[1] ; Xuan,Liu ^[1] ; Juntao,Chang ^[1] ; Mingzhu,Lu ^[2] ; Yanshu,Jing ^[1] ; Rongzhen,Yang ^[1] ; Weihao,Sun ^[1] ; Jie,Deng ^[1] ; Tingting,Qi ^[1] ; Mingxi,Wan ^[1]

作者单位： The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi' an Jiaotong University, Xi'an 710049, China. ^[1] The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi' an Jiaotong University, Xi'an 710049, China. Electronic address: mzlu@mail.xjtu.edu.cn. ^[2]

关键词 Bayes framework Gamma mixture model High-intensity focused-ultrasound Ultrasound image segmentation

主题词算法(Algorithms);贝叶斯定理(Bayes Theorem);结果可重复性(Reproducibility of Results);超声检查(Ultrasonography);高温, 诱发(Hyperthermia, Induced);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1016/j.ultras.2023.107103

PMID 37437399

发布时间 2023-08-07

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