勤益科大機構典藏:Item 987654321/5908
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    题名: Parasite and Infected-Erythrocyte Image Segmentation in Stained Blood Smears
    作者: Yi-Wen Hung, Ching-Lin Wang, Chuin-Mu Wang, Yung-Kuan Chan, Lin-Yu Tseng, Chiu-Wen Lee, Kwong-Chung Tung
    贡献者: 圖書館
    关键词: Malaria parasite
    Image segmentation
    Edge detection
    Blood smear image
    日期: 2015
    上传时间: 2016-10-18 16:02:01 (UTC+8)
    摘要: 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.
    關聯: Journal of Medical and Biological Engineering, 35(6), 803-815
    显示于类别:[資訊管理系(研發與科技管理研究所)] 【資訊管理系】期刊論文

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