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

• Main Authors: Htike@Muhammad Yusof, Zaw Zaw, Nyein Naing, Wai Yan, Khan, Sheroz
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/38051/1/Lung_Nodule_Paper.pdf; http://irep.iium.edu.my/38051/; http://www.iium.edu.my/iccce/14/

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.