Gui Based Segmentation of WBCs and Detection of Infected Cells - Saini, Lalit Mohan;Singh, Ankita
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
O Dr. Lalit Mohan Saini trabalha como Prof. em Engenharia Electrotécnica. Departamento, Inst. Nacional de Técnica, Kurukshetra, ÍNDIA. Rashmi Saini - Obstetra e Ginecologista no Hospital Swami Dayanand, Shahdara, Delhi. Chanchal Gupta fez o seu mestrado em Engenharia Biomédica do NIT Kurukshetra. Eles trabalham na área do desenvolvimento de novos instrumentos biomédicos.