Isbn: 9786202069571 - lesion detection using segmented structure of retina (6 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      6202069570 / 9786202069571

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      EUR 64,37

      EUR 11,69 spedizione 
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      Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      6202069570 / 9786202069571

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 33,30

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      Taschenbuch. Condizione: Neu. Lesion Detection Using Segmented Structure of Retina | Anoop Balakrishnan Kadan (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202069571 | 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 Nov 2017, 2017

      6202069570 / 9786202069571

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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 -Morphology of retina indicates the diseases like diabetic retinopathy, glaucoma and hypertension. Automatic extraction of lesions from retinal images can assist in early diagnosis and screening of common disease such as Diabetic Retinopathy. Automated identification of exudates pathologies in retinopathy fundus images based on fuzzy c means clustering. This approach employs a unique sequential execution of morphological operators to extract fundus image features like vessels, red lesions, and white lesions together with texture feature analysis .Finally features selected are passed into the well-known support vector machine (SVM) classifier which classifies the images into normal and abnormal classes and abnormal regions can be extracted. 68 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      6202069570 / 9786202069571

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      Da: moluna, Greven, Germaniamoluna

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      EUR 31,27

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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 AnoopProf Anoop Balakrishnan Kadan, having 8 year experience in teaching in kerala karnataka.Morphology of retina indicates the diseases like diabetic retinopathy, glaucoma and hypertension. Automatic extractio.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2017

      6202069570 / 9786202069571

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      • Print on Demand

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

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      EUR 53,13

      EUR 30,50 spedizione 
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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Morphology of retina indicates the diseases like diabetic retinopathy, glaucoma and hypertension. Automatic extraction of lesions from retinal images can assist in early diagnosis and screening of common disease such as Diabetic Retinopathy. Automated identification of exudates pathologies in retinopathy fundus images based on fuzzy c means clustering. This approach employs a unique sequential execution of morphological operators to extract fundus image features like vessels, red lesions, and white lesions together with texture feature analysis .Finally features selected are passed into the well-known support vector machine (SVM) classifier which classifies the images into normal and abnormal classes and abnormal regions can be extracted.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2017, 2017

      6202069570 / 9786202069571

      • Brossura
      • Print on Demand

      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 35,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Morphology of retina indicates the diseases like diabetic retinopathy, glaucoma and hypertension. Automatic extraction of lesions from retinal images can assist in early diagnosis and screening of common disease such as Diabetic Retinopathy. Automated identification of exudates pathologies in retinopathy fundus images based on fuzzy c means clustering. This approach employs a unique sequential execution of morphological operators to extract fundus image features like vessels, red lesions, and white lesions together with texture feature analysis .Finally features selected are passed into the well-known support vector machine (SVM) classifier which classifies the images into normal and abnormal classes and abnormal regions can be extracted.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.