Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest
A chest X-ray examination is a painless, non-invasive, and cost effective medical examination performed at present day. A pulmonary nodule is a small round lesion or mass in the lungs which can be indicative of an infection or a neoplasm. Chest X-rays can be used to diagnose pulmonary nodules. This...
Main Authors: | , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf |
id |
iium-38051 |
---|---|
recordtype |
eprints |
spelling |
iium-380512016-08-05T02:04:14Z http://irep.iium.edu.my/38051/ Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz T Technology (General) A chest X-ray examination is a painless, non-invasive, and cost effective medical examination performed at present day. A pulmonary nodule is a small round lesion or mass in the lungs which can be indicative of an infection or a neoplasm. Chest X-rays can be used to diagnose pulmonary nodules. This paper proposes a three-layered framework to perform automatic diagnosis of pulmonary nodules. The first layer performs pre-processing of X-ray images. The second layer extracts texture features from the gray-level co-occurrence matrix. Finally, the third layer classifies whether the X-ray contains any signs of nodules using an ensemble technique called rotation forest. Experiments have been carried out on a chest X-ray dataset from the Japanese Society of Radiological Technology. Satisfactory preliminary experimental results demonstrate the efficacy of our computer aided pulmonary nodule diagnosis system. 2014-06-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan and Khan, Sheroz (2014) Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest. In: International Conference on Computer & Communication Engineering (ICCCE 2014) , 23-25 September 2014, Kuala Lumpur. (In Press) http://www.iium.edu.my/iccce/14/ |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
description |
A chest X-ray examination is a painless, non-invasive, and cost effective medical examination performed at present day. A pulmonary nodule is a small round lesion or mass in the lungs which can be indicative of an infection or a neoplasm. Chest X-rays can be used to diagnose pulmonary nodules. This paper proposes a three-layered framework to perform automatic diagnosis of pulmonary nodules. The first layer performs pre-processing of X-ray images. The second layer extracts texture features from the gray-level co-occurrence matrix. Finally, the third layer classifies whether the X-ray contains any signs of nodules using an ensemble technique called rotation forest. Experiments have been carried out on a chest X-ray dataset from the Japanese Society of Radiological Technology. Satisfactory preliminary experimental results demonstrate the efficacy of our computer aided pulmonary nodule diagnosis system. |
format |
Conference or Workshop Item |
author |
Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz |
author_facet |
Htike@Muhammad Yusof, Zaw Zaw Nyein Naing, Wai Yan Khan, Sheroz |
author_sort |
Htike@Muhammad Yusof, Zaw Zaw |
title |
Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
title_short |
Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
title_full |
Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
title_fullStr |
Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
title_full_unstemmed |
Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest |
title_sort |
computer-aided diagnosis of pulmonary nodules from chest x-rays using rotation forest |
publishDate |
2014 |
url |
http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf |
first_indexed |
2023-09-18T20:54:36Z |
last_indexed |
2023-09-18T20:54:36Z |
_version_ |
1777410220370165760 |