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Automated Diagnosis of Malaria in Tropical Areas Using 40X Microscopic Images of Blood Smears
Kanaa Thomas Florent Noel, Tchiotsop Daniel, Ele Pierre, Tonye Emmanuel, Belong Philippe
Pages - 12 - 23     |    Revised - 31-08-2016     |    Published - 01-10-2016
Volume - 10   Issue - 2    |    Publication Date - October 2016  Table of Contents
Malaria, Plasmodium Falciparum, Median Filter, Sauvola Thresholding, Microscopic Imagery.
This paper proposes a new algorithm to measure parasitemia stemming from Plasmodium falciparum by using optical images of capillary blood smears from Sub-Saharan Africa. The approach is an improvement of the previous noteworthy method by developing a two-tone adaptive median filter and Sauvola segmentation. The analysis was performed on the database of 100X and 40X microscopic images originating from real time collection of patients' blood of some Cameroon's laboratories. The obtained results were very satisfactory with a detection of infected cells on 40X images of a sensitivity at 81.58%, a specificity at 97.11% and an accuracy at 96.71%. Compared to the previous works, the values portray a real improvement in most performance's criteria for 100X images and 40X images as well. There is a significant step of automated Malaria diagnosis in tropical areas and in the performance assessed. The results of the method gave more strength for the two magnification ranges. The time spent in analysis is obviously reduced with 40X magnification and the inaccessibility of the information by the visual laboratory measurement is henceforth genuinely assaulted. The low cost of the system opens therefore the possibility of a cost effective method of diagnosing malaria in low and middle-income countries.
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Dr. Kanaa Thomas Florent Noel
University of Bamenda - Cameroon
Associate Professor Tchiotsop Daniel
University of Dschang - Cameroon
Associate Professor Ele Pierre
University of Douala - Cameroon
Professor Tonye Emmanuel
University of Yaounde - Cameroon
Dr. Belong Philippe
University of Yaounde - Cameroon

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