Please use this identifier to cite or link to this item: https://doi.org/10.1109/BMEI.2009.5301645
Title: Cell clumping quantification and automatic area classification in peripheral blood smear images
Authors: Xiong, W.
Ong, S.H. 
Kang, C.
Lim, J.H.
Liu, J.
Racoceanu, D.
Foong, K. 
Keywords: Automatic area classification
Cell clumping quantification
Cell enumeration
Hough transform
Multiscale
Peripheral blood smear images
Issue Date: 2009
Citation: Xiong, W.,Ong, S.H.,Kang, C.,Lim, J.H.,Liu, J.,Racoceanu, D.,Foong, K. (2009). Cell clumping quantification and automatic area classification in peripheral blood smear images. Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/BMEI.2009.5301645
Abstract: Cell enumeration in peripheral blood smears and cell are widely applied in biological and pathological practice. Not every area in the smear is appropriate for enumeration due to severe cell clumping or sparseness arising from smear preparation. The automatic selection of good areas for cell enumeration can reduce manual labor and provide objective and consistent results. However, this has been infrequently studied and it is often difficult to count the exact number of cells in the clumps. To select good areas, we do not have to do this. Instead, we measure the goodness of such areas in terms of the degree of cell spread and the degree of clumping. The later is defined based on the distances and linking strengths of local voting peaks generated in the accumulator space after multi-scale circular Hough transforms. Support vector machines are then applied to classify the image areas into good or non-good classes. We have validated our method over 4500 testing cell images and achieved 89% sensitivity and 87% specificity. ©2009 IEEE.
Source Title: Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics, BMEI 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/69575
ISBN: 9781424441341
DOI: 10.1109/BMEI.2009.5301645
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