Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding

Jullend Gatc; Febri Maspiyanti; Devvi Sarwinda; Aniati Murni Arymurthy

doi:10.1109/ICACSIS.2013.6761605

Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding

Jullend Gatc, Febri Maspiyanti, Devvi Sarwinda, Aniati Murni Arymurthy

Faculty of Computer Science

Research output: Contribution to conference › Paper › peer-review

22 Citations (Scopus)

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.

Original language	English
Pages	381-385
Number of pages	5
DOIs	https://doi.org/10.1109/ICACSIS.2013.6761605
Publication status	Published - 2013
Event	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia Duration: 28 Sept 2013 → 29 Sept 2013

Conference

Conference	2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013
Country/Territory	Indonesia
City	Bali
Period	28/09/13 → 29/09/13

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10.1109/ICACSIS.2013.6761605

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title = "Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding",

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.",

author = "Jullend Gatc and Febri Maspiyanti and Devvi Sarwinda and Arymurthy, {Aniati Murni}",

year = "2013",

doi = "10.1109/ICACSIS.2013.6761605",

language = "English",

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note = "2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 ; Conference date: 28-09-2013 Through 29-09-2013",

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Gatc, J, Maspiyanti, F, Sarwinda, D & Arymurthy, AM 2013, 'Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding', Paper presented at 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013, Bali, Indonesia, 28/09/13 - 29/09/13 pp. 381-385. https://doi.org/10.1109/ICACSIS.2013.6761605

Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding. / Gatc, Jullend; Maspiyanti, Febri; Sarwinda, Devvi et al.
2013. 381-385 Paper presented at 2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013, Bali, Indonesia.

Research output: Contribution to conference › Paper › peer-review

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AU - Sarwinda, Devvi

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AB - 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.

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Plasmodium parasite detection on Red Blood Cell image for the diagnosis of malaria using double thresholding

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