Safa Soodabeh (6 results)

Taschenbuch. Condition: Neu. MRI Human Brain Segmentation/Classification Using Bayesian Technique | MRI Brain Segmentation by EM Algorithm | Soodabeh Safa | Taschenbuch | 124 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783848443260 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Safa SoodabehSoodabeh Safashe received the B.Eng degree in software from the Mazandaran University of science and technology in 2004 and Master degree in Computer Science from the Multimedia University in 2010 and Ph.D. degree in Com.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.