IIUM Repository

Computer-aided diagnosis of pulmonary nodules from chest X-rays using rotation forest

Htike@Muhammad Yusof, Zaw Zaw and Nyein Naing, Wai Yan and Win, Shoon Lei 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.

[img] PDF
Restricted to Repository staff only

Download (177kB) | Request a copy
Download (102kB) | Preview
Download (124kB) | Preview


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 (Plenary Papers)
Additional Information: 6919/43049
Uncontrolled Keywords: computer-aided diagnosis; pulmonary nodules; 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: 28 May 2015 08:36
Last Modified: 11 Nov 2016 14:28
URI: http://irep.iium.edu.my/id/eprint/43049

Actions (login required)

View Item View Item


Downloads per month over past year