๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Fully Automated Diagnosis of Multiple Sclerosis based on Pattern Recognition Methods

โœ Scribed by M Weygandt; K Hackmack; F Zipp; J Wuerfel; F Paul; JD Haynes


Book ID
119586710
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
118 KB
Volume
47
Category
Article
ISSN
1053-8119

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Pattern recognition system for the discr
โœ Pantelis Theocharakis; Dimitris Glotsos; Ioannis Kalatzis; Spiros Kostopoulos; P ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 274 KB

In this study, a pattern recognition system has been developed for the discrimination of multiple sclerosis (MS) from cerebral microangiopathy (CM) lesions based on computer-assisted texture analysis of magnetic resonance images. Twenty-three textural features were calculated from MS and CM regions

Evaluation of pattern recognition method
โœ Dietrich Wienke; Klaus Danzer ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 580 KB

Euclidean geometry and information and fuzzy-set theory are used to develop general criteria for the evaluation of clustering methods. A separation function, describing the geometric clustering in a feature space for a given separation state, is introduced. Suitable clustering algorithms for given d