๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Automatic segmentation of amyloid plaques in MR images using unsupervised support vector machines

โœ Scribed by Gheorghe Iordanescu; Palamadai N. Venkatasubramanian; Alice M. Wyrwicz

Book ID
112147382
Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
426 KB
Volume
67
Category
Article
ISSN
0740-3194

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Predictive modeling in glioma grading fr
Predictive modeling in glioma grading from MR perfusion images using support vector machines
โœ Kyrre E. Emblem; Frank G. Zoellner; Bjorn Tennoe; Baard Nedregaard; Terje Nome; ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 490 KB

## Abstract The advantages of predictive modeling in glioma grading from MR perfusion images have not yet been explored. The aim of the current study was to implement a predictive model based on support vector machines (SVM) for glioma grading using tumor blood volume histogram signatures derived f