𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Segmentation of CT brain images using unsupervised clusterings

✍ Scribed by Tong Hau Lee; Mohammad Faizal Ahmad Fauzi; Ryoichi Komiya


Book ID
105726654
Publisher
IOS Press
Year
2009
Tongue
English
Weight
601 KB
Volume
12
Category
Article
ISSN
1343-8875

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Unsupervised segmentation of predefined
✍ J. C. Noordam; W. H. A. M. van den Broek; L. M. C. Buydens πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 688 KB

## Abstract Fuzzy C‐means (FCM) is an unsupervised clustering technique that is often used for the unsupervised segmentation of multivariate images. In traditional FCM the clustering is based on spectral information only and the geometrical relationship between neighbouring pixels is not used in th

Lymph node segmentation from CT images u
✍ Jiayong Yan; Tian-ge Zhuang; Binsheng Zhao; Lawrence H. Schwartz πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 385 KB

Accurate lymph node size analysis is important medically. This paper presents an improved fast marching method to perform semiautomatic segmentation for lymph node from CT images. In this work, we have incorporated the gray scale information of the target region into the fast marching speed term and