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Emphysema Detection using Chest radiograph with Image Processing

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dc.contributor.author Hettiarachchi, Chamod
dc.date.accessioned 2024-04-04T09:45:24Z
dc.date.available 2024-04-04T09:45:24Z
dc.date.issued 2023
dc.identifier.citation Hettiarachchi, Chamod (2023) Emphysema Detection using Chest radiograph with Image Processing. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018843
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1992
dc.description.abstract "Emphysema is a disease of lungs. Chest X-rays or CT scans can identify this disease. It is hard to figure out if the patient has emphysema simply by looking at the x-ray or a CT scan. X-ray or CT scans has not a cleared image of lungs. In regular way doctors must do another test figure out if the patient has this disease or not. So doing multiple tests is not an efficient way to determine emphysema. This project will create a system to detect emphysema from scanning chest X-rays or CT scans. This system will use two image processing models which is separately trained on chest X-ray and CT scans. This will be achieved by assembling the two image processing models. This ensemble model evaluated separately and abled to achieve high accuracy." en_US
dc.language.iso en en_US
dc.subject Machine Learning en_US
dc.subject Deep Learning en_US
dc.subject Computerized Tomography en_US
dc.title Emphysema Detection using Chest radiograph with Image Processing en_US
dc.type Thesis en_US


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