Andre correia sousa (5 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2014

    3659606588 / 9783659606588

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    Da: moluna, Greven, Germaniamoluna

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    EUR 34,25

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2014

    3659606588 / 9783659606588

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    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 36,35

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Computer-assisted diagnosis of cancerous lesions in chromoendoscopy | Andre Correia Sousa | Taschenbuch | 72 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659606588 | 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 Sep 2014, 2014

    3659606588 / 9783659606588

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

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    Condizione: Nuovo

    EUR 39,90

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In-body imaging technologies such as vital-stained magnification endoscopy (chromoendoscopy) pose novel image processing challenges to computer-assisted decision systems given their unique visual characteristics such as reduced colour spaces and natural textures. This book presents the potential of using adapted colour features combined with local binary patterns, a texture descriptor that has exhibited good adaptation to natural images, for classifying gastric regions into three groups: normal, pre-cancer and cancer lesions. Results exhibit 91% accuracy, confirming that specific research for in-body imaging could be the key for future computer assisted decision systems for medicine. 72 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2014

    3659606588 / 9783659606588

    • Brossura
    • Print on Demand

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

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    Condizione: Nuovo

    EUR 58,59

    EUR 30,50 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In-body imaging technologies such as vital-stained magnification endoscopy (chromoendoscopy) pose novel image processing challenges to computer-assisted decision systems given their unique visual characteristics such as reduced colour spaces and natural textures. This book presents the potential of using adapted colour features combined with local binary patterns, a texture descriptor that has exhibited good adaptation to natural images, for classifying gastric regions into three groups: normal, pre-cancer and cancer lesions. Results exhibit 91% accuracy, confirming that specific research for in-body imaging could be the key for future computer assisted decision systems for medicine.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Sep 2014, 2014

    3659606588 / 9783659606588

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 39,90

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In-body imaging technologies such as vital-stained magnification endoscopy (chromoendoscopy) pose novel image processing challenges to computer-assisted decision systems given their unique visual characteristics such as reduced colour spaces and natural textures. This book presents the potential of using adapted colour features combined with local binary patterns, a texture descriptor that has exhibited good adaptation to natural images, for classifying gastric regions into three groups: normal, pre-cancer and cancer lesions. Results exhibit 91% accuracy, confirming that specific research for in-body imaging could be the key for future computer assisted decision systems for medicine.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.