ISBN: 9786200479877 - segmentation using hybrid clustering algorithms: hybrid clustering algorithms to detect brain tumor from mri images (6 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200479879 / 9786200479877

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 126,47

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    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: Brand New. 204 pages. 8.66x5.91x0.46 inches. In Stock.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Dez 2019, 2019

    6200479879 / 9786200479877

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

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    EUR 71,90

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    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The well being of any country or society depends upon the healthy state of its population. One typical health issue faced by the developed, developing and underdeveloped societies is malignancy. The important challenge in image processing is the presence of noise during the image capture process which may result either under segmentation or over segmentation .Image segmentation is considered as the most vital and preliminary process in image analysis for Computer Aided Diagnosis. Segmentation of an image is the separation or division of the image in to different regions of similar feature. In brain MRI analysis, image segmentation is used for segmenting the brain tumor for the measurement of tumor area and for surgical planning. In medical image segmentation if any segmentation fails to detect the Region of Interest precisely, it leads to misclassification which will have serious affect on human beings. The work focuses on these challenges and has implemented effective methods for pre-processing and segmentation for processing MRI images. The exploratory results illuminate the effectiveness in dealing with higher number of segmentation issues by means of enhancing the segmentation quality and precision. The performance measures probability random index (PRI), global consistency error (GCE), structural similarity (SSIM), variation of information (VOI), Peak signal to noise ratio(PSNR) integrated in GUI-CAD is explained. 204 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200479879 / 9786200479877

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    Da: moluna, Greven, Germaniamoluna

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    EUR 58,12

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    Spedito da Germania a U.S.A.

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gopi KarnamDr.Karnam GOPI recevied his Masters degree in Applied Electronics in the year 2007 and Ph.D degree in Electronics and communication from S.V.University, Tirupati in 2018 respectively. He is working as Associate Professor i. …

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200479879 / 9786200479877

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

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    EUR 79,37

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The well being of any country or society depends upon the healthy state of its population. One typical health issue faced by the developed, developing and underdeveloped societies is malignancy. The important challenge in image processing is the presence of noise during the image capture process which may result either under segmentation or over segmentation .Image segmentation is considered as the most vital and preliminary process in image analysis for Computer Aided Diagnosis. Segmentation of an image is the separation or division of the image in to different regions of similar feature. In brain MRI analysis, image segmentation is used for segmenting the brain tumor for the measurement of tumor area and for surgical planning. In medical image segmentation if any segmentation fails to detect the Region of Interest precisely, it leads to misclassification which will have serious affect on human beings. The work focuses on these challenges and has implemented effective methods for pre-processing and segmentation for processing MRI images. The exploratory results illuminate the effectiveness in dealing with higher number of segmentation issues by means of enhancing the segmentation quality and precision. The performance measures probability random index (PRI), global consistency error (GCE), structural similarity (SSIM), variation of information (VOI), Peak signal to noise ratio(PSNR) integrated in GUI-CAD is explained.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6200479879 / 9786200479877

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 60,35

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    Taschenbuch. Condizione: Neu. Segmentation Using Hybrid Clustering Algorithms | Hybrid Clustering Algorithms to Detect Brain Tumor From MRI Images | Karnam Gopi (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200479877 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Dez 2019, 2019

    6200479879 / 9786200479877

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 71,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The well being of any country or society depends upon the healthy state of its population. One typical health issue faced by the developed, developing and underdeveloped societies is malignancy. The important challenge in image processing is the presence of noise during the image capture process which may result either under segmentation or over segmentation .Image segmentation is considered as the most vital and preliminary process in image analysis for Computer Aided Diagnosis. Segmentation of an image is the separation or division of the image in to different regions of similar feature. In brain MRI analysis, image segmentation is used for segmenting the brain tumor for the measurement of tumor area and for surgical planning. In medical image segmentation if any segmentation fails to detect the Region of Interest precisely, it leads to misclassification which will have serious affect on human beings. The work focuses on these challenges and has implemented effective methods for pre-processing and segmentation for processing MRI images. The exploratory results illuminate the effectiveness in dealing with higher number of segmentation issues by means of enhancing the segmentation quality and precision. The performance measures probability random index (PRI), global consistency error (GCE), structural similarity (SSIM), variation of information (VOI), Peak signal to noise ratio(PSNR) integrated in GUI-CAD is explained.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.…