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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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Segmentation and Classification of Abnormalities in Gallbladder
Editore:
LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783330032552
Quantità: 2 disponibili
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Segmentation and Classification of Abnormalities in Gallbladder
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
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Da: moluna, Greven, Germania
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Condizione: 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 . Codice articolo 158958438
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Segmentation and Classification of Abnormalities in Gallbladder: Image Processing
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Codice articolo 3330032553
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Segmentation and Classification of Abnormalities in Gallbladder
Editore:
LAP Lambert Academic Publishing Feb 2017, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783330032552
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Segmentation and Classification of Abnormalities in Gallbladder : Image Processing
Editore:
LAP Lambert Academic Publishing, 2017
ISBN 10: 3330032553
ISBN 13: 9783330032552
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783330032552
Quantità: 1 disponibili