Gui Based Segmentation of WBCs and Detection of Infected Cells: Graphical User Interface (GUI) in MATLAB - Softcover
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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.
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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.
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Gui Based Segmentation of WBCs and Detection of Infected Cells
Verlag:
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786139922987
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Gui Based Segmentation of WBCs and Detection of Infected Cells: Graphical User Interface (GUI) in MATLAB
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
Neu
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Gui Based Segmentation of WBCs and Detection of Infected Cells
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
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Zustand: 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. Bestandsnummer des Verkäufers 385877461
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Gui Based Segmentation of WBCs and Detection of Infected Cells
Verlag:
LAP LAMBERT Academic Publishing Okt 2018, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Bestandsnummer des Verkäufers 9786139922987
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Gui Based Segmentation of WBCs and Detection of Infected Cells : Graphical User Interface (GUI) in MATLAB
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786139922987
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Gui Based Segmentation of WBCs and Detection of Infected Cells | Graphical User Interface (GUI) in MATLAB
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139922984
ISBN 13: 9786139922987
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Taschenbuch
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Taschenbuch. Zustand: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 114815797
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