Blood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation.
In this study, an automatic malaria parasite detector is proposed to perceive the malaria-infected erythrocytes in a blood smear image and to separate parasites from the infected erythrocytes. The detector hence can verify whether a patient is infected with malaria. It could more objectively and eff...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 10; pp. 1 - 15 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925165&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925165 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2015 vid: 39 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925165 115925165 115925165 10.1007/s10916-015-0280-9 115925165 ppf: 1 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Blood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation. aug: au: Tsai, Meng-Hsiun Yu, Shyr-Shen Chan, Yung-Kuan Jen, Chun-Chu affil: Department of Management Information Systems, National Chung Hsing University, Taichung City Republic of China sug: subj: Malaria Diagnosis Parasites Erythrocytes Hematologic Tests Blood Analysis Automation Algorithms Microscopy Image Enhancement Image Processing, Computer Assisted Descriptive Statistics Predictive Value of Tests ab: In this study, an automatic malaria parasite detector is proposed to perceive the malaria-infected erythrocytes in a blood smear image and to separate parasites from the infected erythrocytes. The detector hence can verify whether a patient is infected with malaria. It could more objectively and efficiently help a doctor in diagnosing malaria. The experimental results show that the proposed method can provide impressive performance in segmenting the malaria-infected erythrocytes and the parasites from a blood smear image taken under a microscope. This paper also presents a weighted Sobel operation to compute the image gradient. The experimental results demonstrates that the weighted Sobel operation can provide more clear-cut and thinner object contours in object segmentation. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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