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| Content Provider | PubMed Central |
|---|---|
| Author | Kuse, Manohar Wang, Yi-fang Vinay, Kalasannavar Khan, Michael Rajpoot, Nasir |
| Copyright Year | 2011 |
| 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. |
| Related Links | http://dx.doi.org/10.4103/2153-3539.92028 |
| Starting Page | 2 |
| File Format | |
| ISSN | 21533539 |
| e-ISSN | 21533539 |
| Journal | Journal of Pathology Informatics |
| Volume Number | 2 |
| Language | English |
| Publisher | Medknow Publications & Media Pvt Ltd |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Rights Holder | Medknow Publications & Media Pvt Ltd |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Pathology and Forensic Medicine Health Informatics Computer Science Applications |
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