Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
Published by LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. 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.
Published by LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. 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.
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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 .
Published by LAP Lambert Academic Publishing, 2017
ISBN 10: 3330032553 ISBN 13: 9783330032552
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 43.73
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Add to basketTaschenbuch. 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.