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Includes bibliographical references (leaves 89-92).
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Department of Human Biology
2014
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| _version_ | 1867613145922535424 |
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| access_status_str | Open Access |
| author | Russell, Megan J |
| author2 | Douglas, Tania S |
| author_browse | Douglas, Tania S Russell, Megan J |
| author_facet | Douglas, Tania S Russell, Megan J |
| author_sort | Russell, Megan J |
| collection | Thesis |
| description | Includes bibliographical references (leaves 89-92). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/3198 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:30.019Z |
| 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 | Department of Human Biology |
| publisherStr | Department of Human Biology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/3198 Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears Russell, Megan J Douglas, Tania S Medicine Includes bibliographical references (leaves 89-92). The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images. 2014-07-28T18:14:26Z 2014-07-28T18:14:26Z 2006 Master Thesis Masters MSc http://hdl.handle.net/11427/3198 eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town |
| spellingShingle | Medicine Russell, Megan J Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| thesis_degree_str | Master's |
| title | Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| title_full | Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| title_fullStr | Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| title_full_unstemmed | Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| title_short | Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| title_sort | autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears |
| topic | Medicine |
| url | http://hdl.handle.net/11427/3198 |
| work_keys_str_mv | AT russellmeganj autofocusingandimagesegmentationinmicroscopyforautomaticdetectionoftuberculosisinsputumsmears |