Isbn: 9786139853281 - classification of outer retinal-layers: knn -classifier approach (5 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2018

    6139853281 / 9786139853281

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 138,17

    EUR 29,42 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018

    6139853281 / 9786139853281

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

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    EUR 35,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Classification of Outer Retinal Layers Based On KNN-Classifier illustrates our work towards the classification of Retinal layers using KNN classifier. In this, we explain Matlab code to which substantiate our results. Also, describe the basics of image processing and details of EYE structure. Here, a KNN-Classifier technique is used to determine whether the eyes are normal or abnormal after the segmentation process. Overall, this book provides a flexible and accurate solution for determining the visibility and location of outer retinal layers and could be used as an aid for the disease diagnosis and monitoring. 80 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2018

    6139853281 / 9786139853281

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    • Print on Demand

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

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    EUR 36,33

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    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Classification of Outer Retinal Layers Based On KNN-Classifier illustrates our work towards the classification of Retinal layers using KNN classifier. In this, we explain Matlab code to which substantiate our results. Also, describe the basics of image processing and details of EYE structure. Here, a KNN-Classifier technique is used to determine whether the eyes are normal or abnormal after the segmentation process. Overall, this book provides a flexible and accurate solution for determining the visibility and location of outer retinal layers and could be used as an aid for the disease diagnosis and monitoring.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2018

    6139853281 / 9786139853281

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    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

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    EUR 31,27

    EUR 48,99 spedizione 
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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balakrishnan Kadan Prof.AnoopProf.B.K Anoop Working as Assistant Professor, Department of Electronics and Communication of Vimal Jyothi Engineering College, Chemperi Kannur. His research area includes Signal Processing, Biomedical Im.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018

    6139853281 / 9786139853281

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 35,90

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

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Classification of Outer Retinal Layers Based On KNN-Classifier illustrates our work towards the classification of Retinal layers using KNN classifier. In this, we explain Matlab code to which substantiate our results. Also, describe the basics of image processing and details of EYE structure. Here, a KNN-Classifier technique is used to determine whether the eyes are normal or abnormal after the segmentation process. Overall, this book provides a flexible and accurate solution for determining the visibility and location of outer retinal layers and could be used as an aid for the disease diagnosis and monitoring.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…