Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis

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dc.contributor.advisorDouglas, Tania Sen_ZA
dc.contributor.authorMouton, Andreen_ZA
dc.date.accessioned2014-07-28T18:17:35Z
dc.date.available2014-07-28T18:17:35Z
dc.date.issued2009en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references (leaves 99-103).
dc.description.abstractThis 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.en_ZA
dc.identifier.apacitationMouton, A. (2009). <i>Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. Retrieved from http://hdl.handle.net/11427/3271en_ZA
dc.identifier.chicagocitationMouton, Andre. <i>"Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2009. http://hdl.handle.net/11427/3271en_ZA
dc.identifier.citationMouton, A. 2009. Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mouton, Andre AB - 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. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis TI - Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis UR - http://hdl.handle.net/11427/3271 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/3271
dc.identifier.vancouvercitationMouton A. Computer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysis. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/3271en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Human Biologyen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMedicineen_ZA
dc.titleComputer-aided diagnosis of tuberculosis in paediatric chest X-rays using local textural analysisen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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