Segmentation of Medical MR Images Using Skew Gaussian Distribution - Couverture souple

Vadaparthi, Nagesh ; Yarramalle, Srinivas ; Penumatsa, Suresh Varma

9786139832828: Segmentation of Medical MR Images Using Skew Gaussian Distribution

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ISBN 10 : 6139832829 ISBN 13 : 9786139832828

Editeur : LAP LAMBERT Academic Publishing, 2018

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2018
Langue: anglais
ISBN 10: 6139832829
ISBN 13: 9786139832828
Reliure: Broch�
Nombre de pages: 288
Coordonn�es du fabricant: non disponible
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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Nagesh Vadaparthi

Edit� par LAP LAMBERT Academic Publishing Jun 2018, 2018

ISBN 10 : 6139832829 ISBN 13 : 9786139832828

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brain tumor is one of the major causes for the increase in mortality among the children and adults. In fact, tumor is a mass of tissue that grows-out of control from the normal forces which regulates growth. Therefore, identification of this in advance helps in the recovery of patients through suggestive and corrective treatments. To identify these brain diseases, it is essential to segment the brain tissues which consist of mainly three parts such as Gray Matter (GM), White Matter (WM) and Cerebro spinal fluid (CSF). There are many segmentation techniques available based on parametric and non-parametric models. Among these models, segmentation of medical images based on parametric technique is more accurate. In model based segmentation, entire image is viewed as a collection of image region. Finite mixture models are utilized to characterize the pixel intensities inside the images. Hence, Finite Skew Gaussian Mixture model is used to carry out the segmentation process, the initial parameters are obtaining by using clustering algorithms and the updated equations are obtained by deriving the equations using EM algorithm. 288 pp. Englisch. N� de r�f. du vendeur 9786139832828

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Nagesh Vadaparthi|Srinivas Yarramalle|Suresh Varma Penumatsa

Edit� par LAP LAMBERT Academic Publishing, 2018

ISBN 10 : 6139832829 ISBN 13 : 9786139832828

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vadaparthi NageshDr. Nagesh Vadaparthi is a Professor in the department of Information Technology, Maharaj Vijayaram Gajapathi Raj College of Engineering, India. He has published various papers in reputed National and International J. N� de r�f. du vendeur 385873338

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Vadaparthi, Nagesh

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Vadaparthi, Nagesh

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Nagesh Vadaparthi

Edit� par LAP LAMBERT Academic Publishing Jun 2018, 2018

ISBN 10 : 6139832829 ISBN 13 : 9786139832828

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brain tumor is one of the major causes for the increase in mortality among the children and adults. In fact, tumor is a mass of tissue that grows-out of control from the normal forces which regulates growth. Therefore, identification of this in advance helps in the recovery of patients through suggestive and corrective treatments. To identify these brain diseases, it is essential to segment the brain tissues which consist of mainly three parts such as Gray Matter (GM), White Matter (WM) and Cerebro spinal fluid (CSF). There are many segmentation techniques available based on parametric and non-parametric models. Among these models, segmentation of medical images based on parametric technique is more accurate. In model based segmentation, entire image is viewed as a collection of image region. Finite mixture models are utilized to characterize the pixel intensities inside the images. Hence, Finite Skew Gaussian Mixture model is used to carry out the segmentation process, the initial parameters are obtaining by using clustering algorithms and the updated equations are obtained by deriving the equations using EM algorithm.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 288 pp. Englisch. N� de r�f. du vendeur 9786139832828

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

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Segmentation of Medical MR Images Using Skew Gaussian Distribution

Nagesh Vadaparthi

Edit� par LAP LAMBERT Academic Publishing

ISBN 10 : 6139832829 ISBN 13 : 9786139832828

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brain tumor is one of the major causes for the increase in mortality among the children and adults. In fact, tumor is a mass of tissue that grows-out of control from the normal forces which regulates growth. Therefore, identification of this in advance helps in the recovery of patients through suggestive and corrective treatments. To identify these brain diseases, it is essential to segment the brain tissues which consist of mainly three parts such as Gray Matter (GM), White Matter (WM) and Cerebro spinal fluid (CSF). There are many segmentation techniques available based on parametric and non-parametric models. Among these models, segmentation of medical images based on parametric technique is more accurate. In model based segmentation, entire image is viewed as a collection of image region. Finite mixture models are utilized to characterize the pixel intensities inside the images. Hence, Finite Skew Gaussian Mixture model is used to carry out the segmentation process, the initial parameters are obtaining by using clustering algorithms and the updated equations are obtained by deriving the equations using EM algorithm. N� de r�f. du vendeur 9786139832828

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