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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. Lalit Mohan Saini is working as Prof. in Electrical Engg. Dept., National Inst. of Tech., Kurukshetra, INDIA. Rashmi Saini - Obstetrician and Gynecologist at Swami Dayanand Hospital, Shahdara, Delhi. Chanchal Gupta did her Masters in Biomedical Engg. from NIT Kurukshetra. They work in the area of developing novel biomedical instruments.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Artikel-Nr. zk6139922984
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 114815797
Anzahl: 5 verfügbar