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)
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Abstract
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.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | 6919/38051 |
Uncontrolled Keywords: | computer-aided diagnose, pulmonary modules, chest x-ray, rotation forest |
Subjects: | T Technology > T Technology (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering |
Depositing User: | Mr. Zaw Zaw Htike |
Date Deposited: | 08 Sep 2014 11:34 |
Last Modified: | 05 Aug 2016 10:04 |
URI: | http://irep.iium.edu.my/id/eprint/38051 |
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