@inproceedings{ac9b731e691d4c8290eeec2cf72027fc,
title = "The applications of image segmentation techniques in medical CT images",
abstract = "Image segmentation is the keystone of medical image processing quantitative analysis and the basis of registration, 3D reconstruction. It is very difficult for quantitative analysis of medical CT images because of their complex texture and fuzzy edge This paper takes medicine chest CT images for experimental object, presents a method of CT image segmentation based on region growing method, and the application of effective segmentation of the lung tissue to chest CT images. Compared with any other segmentation methods, the results show that the segmentation method which is proposed in this paper does better in CT image segmentation. The results obtained in this paper have the significance in clinical applications and auxiliary diagnosis.",
keywords = "CT image, Image Segmentation, Region growing",
author = "Huilin Gao and Lihua Dou and Wenjie Chen and Gang Xie",
year = "2011",
language = "English",
isbn = "9789881725592",
series = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
pages = "3296--3299",
booktitle = "Proceedings of the 30th Chinese Control Conference, CCC 2011",
note = "30th Chinese Control Conference, CCC 2011 ; Conference date: 22-07-2011 Through 24-07-2011",
}