Publication:
Automated segmentation of erythrocytes from Giemsa-stained thin blood films

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Issued Date

2016

Resource Type

Conference Paper

File Type

application/pdf

DOI

10.1109/KST.2016.7440503

Other identifier(s)

2-s2.0-84966600728

Rights Holder(s)

มหาวิทยาลัยศรีนครินทรวิโรฒ

Bibliographic Citation

2016 8th International Conference on Knowledge and Smart Technology, KST 2016. (2016), p.219-223

Suggested Citation

Puttapirat P., Phothisonothai M., Tantisatirapong S. Automated segmentation of erythrocytes from Giemsa-stained thin blood films. 2016 8th International Conference on Knowledge and Smart Technology, KST 2016. (2016), p.219-223. doi:10.1109/KST.2016.7440503 Retrieved from: https://hdl.handle.net/20.500.14740/5544

Title

Automated segmentation of erythrocytes from Giemsa-stained thin blood films

Author(s)

Puttapirat P.
 Phothisonothai M.
 Tantisatirapong S.

Abstract

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.

Subject(s)

Cells
 Cytology
 Diseases
 Image segmentation
 Automated segmentation
 Cell counting
 Infected cells
 Malaria parasite
 Multichannel images
 Overlapping cells
 Blood

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URI

https://hdl.handle.net/20.500.14740/5544

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Scopus: Year 1983-2021

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