✦ LIBER ✦

Medical image segmentation based on non-parametric mixture models with spatial information

✍ Scribed by Song, Yu-Qing; Liu, Zhe; Chen, Jian-Mei; Zhu, Feng; Xie, Cong-Hua

Book ID: 118245336
Publisher: Springer-Verlag
Year: 2010
Tongue: English
Weight: 775 KB
Volume: 6
Category: Article
ISSN: 1863-1703
DOI: 10.1007/s11760-010-0185-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A fast snake model based on non-linear d

A fast snake model based on non-linear diffusion for medical image segmentation

✍ Min Wei; Yongjin Zhou; Mingxi Wan 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 364 KB

In this paper, the traditional snake model and gradient vector flow (GVF) snake model are studied, which are believed to be quite slow due to the need to compute inverse matrix. Actually, the GVF in the latter snake model is formed by a biased linear diffusion procedure, and there would be oscillati

[Communications in Computer and Informat

[Communications in Computer and Information Science] Advances in Digital Image Processing and Information Technology Volume 205 || Unsupervised Medical Image Classification Based on Skew Gaussian Mixture Model and Hierarchical Clustering Algorithm

✍ Nagamalai, Dhinaharan; Renault, Eric; Dhanuskodi, Murugan 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg ⚖ 617 KB

[IEEE Comput. Soc 12th IEEE Symposium on

[IEEE Comput. Soc 12th IEEE Symposium on Computer-Based Medical Systems - Stamford, CT, USA (18-20 June 1999)] Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365) - Lossless compression of segmented biomedical images with an adaptive arithmetic coding model

✍ Zamora, G.; Sunanda Mitra, 📂 Article 📅 1999 🏛 IEEE Comput. Soc ⚖ 76 KB