Segmentation of crescent shape blood cells using circular hough transform

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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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)
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

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