Gui Based Segmentation Wbcs by Saini Lalit (6 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139922984 / 9786139922987

      • Softcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139922984 / 9786139922987

      • Softcover

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2018, 2018

      6139922984 / 9786139922987

      • Softcover
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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139922984 / 9786139922987

      • Softcover
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      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139922984 / 9786139922987

      • Softcover
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      Seller: moluna, Greven, Germanymoluna

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      Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Okt 2018, 2018

      6139922984 / 9786139922987

      • Softcover
      • Print on Demand

      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: 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.