@inproceedings{b128d28b43b0404db2d02fbe84c6a5b0,
title = "A fast algorithm for medical image segmentation based on improved incremental variational level set",
abstract = "According to the low calculating speed of Chan-Vese model for image segmentation caused by the iteration in process of evolution in the whole image region, a fast medical image segmentation method based on improved incremental variational level set is presented in this paper, in which incremental mode is adopted to get average gray value in iteration and a progressive iterative formula is used as the modification of analytical formula, so that some fast algorithms such as narrowband method could be applied to increase the efficiency of segmentation which makes the model more practical.",
keywords = "Chan-Vese model, Level set, Medical image segmentation",
author = "Yi Shen and Chunhui Zhu and Qiang Wang and Jiasheng Hao",
year = "2009",
doi = "10.1109/IMTC.2009.5168489",
language = "英语",
isbn = "9781424433537",
series = "2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009",
pages = "442--445",
booktitle = "2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009",
note = "2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009 ; Conference date: 05-05-2009 Through 07-05-2009",
}