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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing - Softcover

 
9783330032552: Segmentation and Classification of Abnormalities in Gallbladder: Image Processing

Synopsis

Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone.

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N. Shanmuga Sundari working as Assistant Professor in Velammal College of Engineering and Technology, Madurai. My area of research are Image Processing, Information Security and Image Mining. This is my first book that is related to Medical Image Processing. I want to dedicate this book to my family.

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ISBN 10: 3330032553 ISBN 13: 9783330032552
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone. 52 pp. Englisch. Seller Inventory # 9783330032552

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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sundari N. ShanmugaN. Shanmuga Sundari working as Assistant Professor in Velammal College of Engineering and Technology, Madurai. My area of research are Image Processing, Information Security and Image Mining. This is my first book . Seller Inventory # 158958438

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N. Shanmuga Sundari
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
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Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Seller Inventory # 3330032553

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Taschenbuch. Condition: Neu. Neuware -Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Seller Inventory # 9783330032552

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic segmentation of ultrasound images is an important component of many applications domains, especially in the field of medical. Gallstone is a high incidence of gallbladder disease, Segmentation and extraction of gallstone from an ultrasound image is requirement for taking decision regarding treatment. Because of the presence of speckle noise, low contrast and luminous in-homogeneity in ultrasound images the available segmentation algorithms are general techniques. We proposed new method for the segmentation of ultrasonic images of gallstones. Segmentation, classification and level set method as presented. A validation is required for proper identification of gallstone. Seller Inventory # 9783330032552

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