MRI Human Brain Segmentation/Classification Using Bayesian Technique: MRI Brain Segmentation by EM Algorithm - Soodabeh Safa
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Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
Automatic three-dimensional (3-D) segmentation of the magnetic resonance (MR) scans is a challenging problem that has received an enormous amount of attention lately. Quantitative analysis of signal intensity on MRI changes and their correlation with clinical finding provide important information to diagnose of many neurodegenerative and psychiatric diseases. After the enhancement of images and brain extrac ... Täielik kirjeldus
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Kirjeldus
Automatic three-dimensional (3-D) segmentation of the magnetic resonance (MR) scans is a challenging problem that has received an enormous amount of attention lately. Quantitative analysis of signal intensity on MRI changes and their correlation with clinical finding provide important information to diagnose of many neurodegenerative and psychiatric diseases. After the enhancement of images and brain extraction, brain segmentation is the next level. As a result, brain segmentation is of great interest to many researches. Expectation maximization algorithm has been extensively used in a variety of medical image processing applications, especially for detecting human brain disease.
Lisateave
| Autor | Soodabeh Safa |
|---|---|
| Kirjastaja | LAP LAMBERT Academic Publishing |
| Väljalaskeaasta | 2012 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783848443260 |