稳健性(进化)
图像分割
分割
计算机科学
人工智能
缩小
图像(数学)
计算机视觉
算法
能量(信号处理)
领域(数学)
尺度空间分割
模式识别(心理学)
数学
统计
基因
化学
生物化学
程序设计语言
纯数学
作者
Yu Miao,Jiahai Dai,Yanfang Li,Wei He,Weili Shi,Fei He,Fei Yan,Jiashi Zhao,Zhengang Jiang,Huimiao Zhang
标识
DOI:10.1109/fskd.2016.7603461
摘要
Bias field which existed in MR image had an unfavorable influence on analyzing medical image, especially for medical image segmentation. To solve it, this paper proposed an approach which is based on energy minimization to estimate bias field where exists in the MR image, finish brain tissue segmentation, meanwhile. This method fully utilize the properties of factual information and bias information in the MR image, and by means of effective and stabilized matrix iterative calculation we can obtain optimal value of bias field and every tissues. Furthermore, this method also reflects excellent, robustness and accuracy.
科研通智能强力驱动
Strongly Powered by AbleSci AI