Parasite and Infected-Erythrocyte Image Segmentation in Stained Blood Smears

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Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/5908

Title:	Parasite and Infected-Erythrocyte Image Segmentation in Stained Blood Smears
Authors:	Yi-Wen Hung, Ching-Lin Wang, Chuin-Mu Wang, Yung-Kuan Chan, Lin-Yu Tseng, Chiu-Wen Lee, Kwong-Chung Tung
Contributors:	圖書館
Keywords:	Malaria parasite Image segmentation Edge detection Blood smear image
Date:	2015
Issue Date:	2016-10-18 16:02:01 (UTC+8)
Abstract:	Identifying parasite species and their stage is very important in scrutinizing the properties of malaria, and preventing as well as diagnosing it. Unfortunately, it is a labor-intensive and time-consuming task. Moreover, the diagnosis accuracy heavily depends on the experience and skill of the technician, whose training is expensive. Developing a computer-aided system is thus necessary for identifying parasite species and their stage for malaria diagnosis. Extracting the infected erythrocytes and parasites from a blood smear image is essential for such as system. The present study proposes an automatic malaria parasite detector for segmenting parasites and malaria-infected erythrocytes from a blood smear image. This detector can objectively and efficiently help a doctor diagnose malaria. Experimental results show that the proposed detector performs well in segmenting parasites and malaria-infected erythrocytes from a blood smear image taken under a microscope.
Relation:	Journal of Medical and Biological Engineering, 35(6), 803-815
Appears in Collections:	[Department of Information Management] 【資訊管理系】期刊論文

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