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: | Proceeding Paper |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf |
| _version_ | 1848781528648122368 |
|---|---|
| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:51:00Z |
| format | Proceeding Paper |
| id | iium-38051 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:51:00Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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/ |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/ http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf |