Beschreibung
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 WBCs 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
Dr. 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. Ankita Singh did her Masters in Biomedical Engg. from NIT, Kurukshetra. Her area of interest is development of GUI diagnostic system.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
