ISBN: 9786139922987 - gui based segmentation of wbcs and detection of infected cells: graphical user interface (gui) in matlab (6 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139922984 / 9786139922987

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139922984 / 9786139922987

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. Gui Based Segmentation of WBCs and Detection of Infected Cells | Graphical User Interface (GUI) in MATLAB | Lalit Mohan Saini (u. a.) | Taschenbuch | 52 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139922987 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Okt 2018, 2018

    6139922984 / 9786139922987

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this study, a set of blood smear images were segmented by different segmentation techniques. After segmentation stage, stain color analysis are done for every WBC on smear image to get feature vector about Region of Interest. The WBC's are classified as infected or non-infected according to the set threshold value of the data. The method first separates the leucocytes from rest of the image then it detects leukemia and finally it counts the total number of infected cells. Finally, a smart platform based on Graphical User Interface (GUI) in MATLAB has been created to make the detection process much easier and user friendly, inclusive of some interesting features like automatic blood cell count and blood cell identification. 52 pp. Englisch.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139922984 / 9786139922987

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    EUR 45,66

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study, a set of blood smear images were segmented by different segmentation techniques. After segmentation stage, stain color analysis are done for every WBC on smear image to get feature vector about Region of Interest. The WBC's are classified as infected or non-infected according to the set threshold value of the data. The method first separates the leucocytes from rest of the image then it detects leukemia and finally it counts the total number of infected cells. Finally, a smart platform based on Graphical User Interface (GUI) in MATLAB has been created to make the detection process much easier and user friendly, inclusive of some interesting features like automatic blood cell count and blood cell identification.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2018

    6139922984 / 9786139922987

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    Librería: moluna, Greven, Alemaniamoluna

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    EUR 34,25

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saini Lalit MohanDr. Lalit Mohan Saini is working as Prof. in Electrical Engg. Dept., National Inst. of Tech., Kurukshetra, INDIA. His area of interest is applications of embedded system in Power Ec., Power System, Biomedical Engg. A.…

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Okt 2018, 2018

    6139922984 / 9786139922987

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this study, a set of blood smear images were segmented by different segmentation techniques. After segmentation stage, stain color analysis are done for every WBC on smear image to get feature vector about Region of Interest. The WBC's are classified as infected or non-infected according to the set threshold value of the data. The method first separates the leucocytes from rest of the image then it detects leukemia and finally it counts the total number of infected cells. Finally, a smart platform based on Graphical User Interface (GUI) in MATLAB has been created to make the detection process much easier and user friendly, inclusive of some interesting features like automatic blood cell count and blood cell identification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…