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Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Division of Biomedical Engineering
2014
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| _version_ | 1867613236372701184 |
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| access_status_str | Open Access |
| author | Dendere, Ronald |
| author2 | Douglas, Tania S |
| author_browse | Dendere, Ronald Douglas, Tania S |
| author_facet | Douglas, Tania S Dendere, Ronald |
| author_sort | Dendere, Ronald |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/3232 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:56.154Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Division of Biomedical Engineering |
| publisherStr | Division of Biomedical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/3232 Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models Dendere, Ronald Douglas, Tania S Biomedical Engineering Includes abstract. Includes bibliographical references (leaves 83-88). Automated microscopy for the detection of tuberculosis (TB) in sputum smears seeks to address the strain on technicians and to achieve faster diagnosis in order to cope with the rising number of TB cases. Image processing techniques provide a useful alternative to the conventional, manual analysis of sputum smears for diagnosis. In the project described here, the use of parametric and geometric deformable models was explored for segmentation of TB bacilli in images of Ziehl-Neelsen-stained sputum smears for automated TB diagnosis. The goal of segmentation is to produce candidate bacillus objects for input into a classifier. 2014-07-28T18:16:16Z 2014-07-28T18:16:16Z 2009 Master Thesis Masters MSc http://hdl.handle.net/11427/3232 eng application/pdf Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town |
| spellingShingle | Biomedical Engineering Dendere, Ronald Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| thesis_degree_str | Master's |
| title | Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| title_full | Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| title_fullStr | Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| title_full_unstemmed | Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| title_short | Segmentation of candidate bacillus objects in images of Ziehl-Neelsen-stained sputum smears using deformable models |
| title_sort | segmentation of candidate bacillus objects in images of ziehl neelsen stained sputum smears using deformable models |
| topic | Biomedical Engineering |
| url | http://hdl.handle.net/11427/3232 |
| work_keys_str_mv | AT dendereronald segmentationofcandidatebacillusobjectsinimagesofziehlneelsenstainedsputumsmearsusingdeformablemodels |