Segmentation of MR osteosarcoma images

被引：0

作者：

Pan, JC ^{[1
]}

Li, ML ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China

来源：

ICCIMA 2003: FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS | 2003年

关键词：

MR; segmentation; osteosarcoma; FCM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There is a large body of literature about MR image segmentation methods. In this paper we briefly review these methods; particular emphasis is based on the relative merits of single image versus multispectral segmentation, and supervised versus unsupervised segmentation methods. Finally, we discuss that how to segment osteosarcoma into tumor tissue classes based on three different MR weighted image parameters(T1,PD,and T2) using unsupervised fuzzy c-means(FCM) clustering algorithm technique for pattern recognition. Keywords: MR; Segmentation; Osteosarcoma; FCM.

引用

页码：379 / 384

页数：6

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