Title :
Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding
Author :
Gatc, Jullend ; Maspiyanti, Febri ; Sarwinda, Devvi ; Arymurthy, Aniati Murni
Author_Institution :
Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia
Abstract :
Malaria which is caused by Plasmodium parasite is one of the diseases that can cause death in patients. Detection of plasmodium parasites on the Red Blood Cell (RBC) image can help diagnose malaria quickly and accurately, especially in the areas that lacked medical expertise. This research proposes a detection method of plasmodium parasite at RBC using double thresholding for improving accuracy of detection. Our method is able to achieved Predictive Positive Value (PPV) and Sensitivity about 92.85% and 85.52% respectively.
Keywords :
biomedical optical imaging; blood; cellular biophysics; diseases; feature extraction; image segmentation; medical image processing; microorganisms; optical microscopes; Plasmodium parasite detection; RBC image; detection accuracy; detection sensitivity; double thresholding; malaria diagnosis; predictive positive value; red blood cell image; Biomedical imaging; Diseases; Gray-scale; Image segmentation; Microscopy; Red blood cells;
Conference_Titel :
Advanced Computer Science and Information Systems (ICACSIS), 2013 International Conference on
Conference_Location :
Bali
DOI :
10.1109/ICACSIS.2013.6761605
