Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2010.5652386
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dc.titleAutomatic cell classification and population estimation in blastocystis autophagy images
dc.contributor.authorXiong, W.
dc.contributor.authorLim, J.H.
dc.contributor.authorOng, S.H.
dc.contributor.authorLiu, J.
dc.contributor.authorJing, Y.
dc.contributor.authorTan, K.S.W.
dc.date.accessioned2014-06-19T03:01:04Z
dc.date.available2014-06-19T03:01:04Z
dc.date.issued2010
dc.identifier.citationXiong, W., Lim, J.H., Ong, S.H., Liu, J., Jing, Y., Tan, K.S.W. (2010). Automatic cell classification and population estimation in blastocystis autophagy images. Proceedings - International Conference on Image Processing, ICIP : 4349-4352. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2010.5652386
dc.identifier.isbn9781424479948
dc.identifier.issn15224880
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69468
dc.description.abstractBlastocystis is a unicellular but polymorphic protozoan parasite causing digestive diseases in humans. Autophagy, a self-degradation process, is only recently found in Blastocystis. Identifying and enumerating autophagic Blastocystis cells using fluorescent microscopy are important in biology. Doing this manually is laborious and error-prone. This paper proposes image analysis techniques to automate the process. The difficulties are poor image quality and large variations in illumination and cell morphology. We divide the cells into several sub-classes of different morphology. Support vector machines are used to learn domain knowledge and classify the cells. Validation experiments on separate data sets show reliable performance for manually segmented cells with sensitivity 82.2% and specificity 86.7%. For automatically segmented cells, the sensitivity is the same. However, the specificity drops down to 68.4%. To our knowledge, this is the first attempt in automatic processing these images. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICIP.2010.5652386
dc.sourceScopus
dc.subjectAutomatic
dc.subjectAutophagy
dc.subjectBlastocystis
dc.subjectClassification
dc.subjectPopulation estimation
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICIP.2010.5652386
dc.description.sourcetitleProceedings - International Conference on Image Processing, ICIP
dc.description.page4349-4352
dc.identifier.isiut000287728004099
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