The Development of Evaluation Algorithm for Blood Infection Degree

Author:

Kim Chang-Hyun,Kwac Lee-Ku,Kim Hong-GunORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference21 articles.

1. Sinden, R., & Gilles, H. (2002). The malaria parasites. In D. A. Warrell & H. M. Gilles (Eds.), Essential malariology (4th ed.). London: Arnold.

2. WHO Global Malaria Programme. (2015). Section 2: Trends in infection prevalence, cases and deaths. World Malaria Report 2015 (pp. iv–v). Geneva: WHO.

3. WHO (Ed.) (2010). Guidelines for the treatment of malaria (2nd ed., pp. 1–10). Geneva: WHO.

4. Ross, N. E., Pritchard, C. J., Rubin, D. M., & Dusé, A. G. (2006). Automated image processing method for the diagnosis and classification of malaria in thin blood smears. Medical and Biological Engineering and Computing, 44(5), 427–436.

5. Amexo, M., Tolhurst, R., Barnish, G., & Bates, I. (2004). Malaria misdiagnosis: Effects on the poor and vulnerable. The Lancet, 364(9448), 1896–1898.

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