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Local isotropic phase symmetry measure for detection of beta cells and lymphocytes
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Kuse, Manohar, Wang, Yi-Fang, Kalasannavar, V, Khan, Michael and Rajpoot, Nasir M. (Nasir Mahmood) (2012) Local isotropic phase symmetry measure for detection of beta cells and lymphocytes. Journal of Pathology Informatics, Vol.2 (No.2). doi:10.4103/2153-3539.92028
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Official URL: http://dx.doi.org/10.4103/2153-3539.92028
Abstract
Diabetes can be associated with a reduction in functional β cell mass, which must be restored if the disease is to be cured or progress is to be arrested. To study the cell count, it is also necessary to determine the number of nuclei within the insulin stained area. It can take a single experimentalist several months to complete a single study of this kind, results of which may still be quite subjective. In this paper, we propose a framework based on a novel measure of local symmetry for detection of cells. The local isotropic phase symmetry measure (LIPSyM) is designed to give high values at or near the cell centers. We demonstrate the effectiveness of our algorithm for detection of two types of specific cells in histology images, cells in mouse pancreatic sections and lymphocytes in human breast tissue. Experimental results for these two problems show that our algorithm performs better than human experts for the former problem, and outperforms the best reported results for the latter.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QH Natural history > QH301 Biology | ||||
| Divisions: | Faculty of Science > Computer Science Faculty of Science > Life Sciences (2010- ) |
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| Library of Congress Subject Headings (LCSH): | Pancreatic beta cells -- Counting, Cell nuclei -- Counting, Cytology -- Technique | ||||
| Journal or Publication Title: | Journal of Pathology Informatics | ||||
| Publisher: | Medknow Publications and Media Pvt. Ltd. | ||||
| ISSN: | 2229-5089 | ||||
| Official Date: | 19 January 2012 | ||||
| Dates: |
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| Volume: | Vol.2 | ||||
| Number: | No.2 | ||||
| DOI: | 10.4103/2153-3539.92028 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | University of Warwick. Dept. of Computer Science |
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