Isbn: 9783330032552 - segmentation and classification of abnormalities in gallbladder: image processing (9 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

    3330032553 / 9783330032552

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

    3330032553 / 9783330032552

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Segmentation and Classification of Abnormalities in Gallbladder | Image Processing | N. Shanmuga Sundari (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330032552 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing Feb 2017, 2017

    3330032553 / 9783330032552

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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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.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

    3330032553 / 9783330032552

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

    3330032553 / 9783330032552

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2017

    3330032553 / 9783330032552

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    Da: moluna, Greven, Germaniamoluna

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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 .

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2017

    3330032553 / 9783330032552

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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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.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Feb 2017, 2017

    3330032553 / 9783330032552

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.