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Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Human Biology
2014
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| _version_ | 1867613218533277696 |
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| access_status_str | Open Access |
| author | Mouton, Andre |
| author2 | Douglas, Tania S |
| author_browse | Douglas, Tania S Mouton, Andre |
| author_facet | Douglas, Tania S Mouton, Andre |
| author_sort | Mouton, Andre |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/3271 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:39.476Z |
| 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:11427/3271 Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis Mouton, Andre Douglas, Tania S Medicine Includes abstract. Includes bibliographical references (leaves 99-103). This report presents a computerised tool to analyse the appearance of the lung fields in paediatric chest X-rays to detect the presence of tuberculosis. The computer aided diagnosis (CAD) tool consists of 4 phases: 1) lung field segmentation; 2) lung field subdivision; 3) feature extraction and 4) classification. Lung field segmentation is performed using a semi-automatic implementation of the active shape model algorithm. Two approaches to subdividing the lung fields into regions of interest are compared. The first divides each lung field into 21 overlapping regions of varying sizes, resulting in a total of 42 regions per image; this approach is called the big region approach. The second approach divides the lung fields into a large number of overlapping circular regions of interest. The circular regions have a radius of 32 pixels and are placed on an 8 x 8 pixel grid. This approach is called the circular region approach. Textural features are extracted from each of the regions using the moments of responses to a multiscale bank of Gaussian filters. Additional positional features are added to the circular regions. 2014-07-28T18:17:35Z 2014-07-28T18:17:35Z 2009 Master Thesis Masters MSc http://hdl.handle.net/11427/3271 eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town |
| spellingShingle | Medicine Mouton, Andre Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| thesis_degree_str | Master's |
| title | Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| title_full | Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| title_fullStr | Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| title_full_unstemmed | Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| title_short | Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis |
| title_sort | computer aided diagnosis of tuberculosis in paediatric chest x rays using local textural analysis |
| topic | Medicine |
| url | http://hdl.handle.net/11427/3271 |
| work_keys_str_mv | AT moutonandre computeraideddiagnosisoftuberculosisinpaediatricchestxraysusinglocaltexturalanalysis |