Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13452
ชื่อเรื่อง: Automated segmentation of erythrocytes from Giemsa-stained thin blood films
ผู้แต่ง: Puttapirat P.
Phothisonothai M.
Tantisatirapong S.
Keywords: Cells
Cytology
Diseases
Image segmentation
Automated segmentation
Cell counting
Infected cells
Malaria parasite
Multichannel images
Overlapping cells
Blood
วันที่เผยแพร่: 2016
บทคัดย่อ: This paper investigates automated segmentation of malaria parasites in images of Giemsa-stained thin blood film specimens. The Giemsa staining exhibits not only on the malaria parasites, but also platelets and artifacts. We aim to extract erythrocytes both normal and infected cells from other particles and separate overlapping cells. Our approach is compared with manual cell counting and existing program named CELLCOUNTER. Our processing framework provides 97% accuracy, which yields predominant detection more accurate than the CELLCOUNTER. The results also indicate high correlation between our proposed method and the manual cell counting. © 2016 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13452
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966600728&doi=10.1109%2fKST.2016.7440503&partnerID=40&md5=059d16c34acf729c512289cb60460d6c
Appears in Collections:Scopus 1983-2021

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