Rahmani, A.M. and Idris, M.Y.I. and Ramli, R. and Arof, Hamzah (2014) Segmentation of crescent shape blood cells using circular hough transform. In: Proceedings of the 3rd International Conference on Computer Engineering & Mathematical Sciences (ICCEMS 2014), 04-05 Dec 2014, Langkawi, Malaysia.
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Abstract
In this paper, we presented a semi-automated tool to analyze red blood cells. We utilized circular Hough transform for circular cells detection. In a light micrograph, the red blood cells may appear in a crescent shape that known as Sickle-cell. Thus, we proposed a technique to detect this shape and demonstrated its capability. Overall, our tool recorded 92% of accuracy with 70% and 72% of sensitivity and specificity respectively. Despite the promising performance, several limitations must be overcome and has been highlighted in the conclusions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Red blood cell, segmentation, deformable cell, overlaps cell, cell count. |
| Subjects: | R Medicine |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
| Depositing User: | Mr. Mohd Samsul Ismail |
| Date Deposited: | 11 Mar 2015 01:03 |
| Last Modified: | 11 Oct 2018 03:51 |
| URI: | http://eprints.um.edu.my/id/eprint/12990 |
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