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Computer-assisted detection of lung cancer nudules in medical chest X-rays

Diagnostic medicine was revolutionized in 1895 with Rontgen's discovery of x-rays. X-ray photography has played a very prominent role in diagnostics of all kinds since then and continues to do so. It is true that more sophisticated and successful medical imaging systems are available. These include...

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Main Author: Borchardt, Wayne Grant
Other Authors: de Jager, Gerhard
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2023
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access_status_str Open Access
author Borchardt, Wayne Grant
author2 de Jager, Gerhard
author_browse Borchardt, Wayne Grant
de Jager, Gerhard
author_facet de Jager, Gerhard
Borchardt, Wayne Grant
author_sort Borchardt, Wayne Grant
collection Thesis
description Diagnostic medicine was revolutionized in 1895 with Rontgen's discovery of x-rays. X-ray photography has played a very prominent role in diagnostics of all kinds since then and continues to do so. It is true that more sophisticated and successful medical imaging systems are available. These include Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) and Positron Emission Tomography (PET). However, the hardware instalment and operation costs of these systems remain considerably higher than x-ray systems. Conventional x-ray photography also has the advantage of producing an image in significantly less time than MRI, CT and PET. X-ray photography is still used extensively, especially in third world countries. The routine diagnostic tool for chest complaints is the x-ray. Lung cancer may be diagnosed by the identification of a lung cancer nodule in a chest x-ray. The cure of lung cancer depends upon detection and diagnosis at an early stage. Presently the five-year survival rate of lung cancer patients is approximately 10%. If lung cancer can be detected when the tumour is still small and localized, the five-year survival rate increases to about 40%. However, currently only 20% of lung cancer cases are diagnosed at this early stage. Giger et al wrote that "detection and diagnosis of cancerous lung nodules in chest radiographs are among the most important and difficult tasks performed by radiologists".
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:06.010Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2023
publishDateRange 2023
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publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/38788 Computer-assisted detection of lung cancer nudules in medical chest X-rays Borchardt, Wayne Grant de Jager, Gerhard Electrical and Computer Engineering Diagnostic medicine was revolutionized in 1895 with Rontgen's discovery of x-rays. X-ray photography has played a very prominent role in diagnostics of all kinds since then and continues to do so. It is true that more sophisticated and successful medical imaging systems are available. These include Magnetic Resonance Imaging (MRI), Computerized Tomography (CT) and Positron Emission Tomography (PET). However, the hardware instalment and operation costs of these systems remain considerably higher than x-ray systems. Conventional x-ray photography also has the advantage of producing an image in significantly less time than MRI, CT and PET. X-ray photography is still used extensively, especially in third world countries. The routine diagnostic tool for chest complaints is the x-ray. Lung cancer may be diagnosed by the identification of a lung cancer nodule in a chest x-ray. The cure of lung cancer depends upon detection and diagnosis at an early stage. Presently the five-year survival rate of lung cancer patients is approximately 10%. If lung cancer can be detected when the tumour is still small and localized, the five-year survival rate increases to about 40%. However, currently only 20% of lung cancer cases are diagnosed at this early stage. Giger et al wrote that "detection and diagnosis of cancerous lung nodules in chest radiographs are among the most important and difficult tasks performed by radiologists". 2023-09-20T08:27:00Z 2023-09-20T08:27:00Z 1992 2023-09-20T08:26:34Z Master Thesis Masters MSc http://hdl.handle.net/11427/38788 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment
spellingShingle Electrical and Computer Engineering
Borchardt, Wayne Grant
Computer-assisted detection of lung cancer nudules in medical chest X-rays
thesis_degree_str Master's
title Computer-assisted detection of lung cancer nudules in medical chest X-rays
title_full Computer-assisted detection of lung cancer nudules in medical chest X-rays
title_fullStr Computer-assisted detection of lung cancer nudules in medical chest X-rays
title_full_unstemmed Computer-assisted detection of lung cancer nudules in medical chest X-rays
title_short Computer-assisted detection of lung cancer nudules in medical chest X-rays
title_sort computer assisted detection of lung cancer nudules in medical chest x rays
topic Electrical and Computer Engineering
url http://hdl.handle.net/11427/38788
work_keys_str_mv AT borchardtwaynegrant computerassisteddetectionoflungcancernudulesinmedicalchestxrays