Automation of Lung Nodule Segmentation Using Artificial Neural Network in CT Lung Images
S. Saravanan, G. Selvakumar, Chandramouli Amarnath, S. Manikandan · 2014
Abstract : Lung cancer is the severe disease where 1.61 million, 12.7% of the total people are affected in India and abroad as per GLOBOCAN series Published by the International Agency for Research on cancer recent. The data load for Radiologists is increased due to current computed tomography (CT) technology which allows for near isotropic, sub-millimeter resolution acquisition of the complete chest in a single breath hold. These thin-slice chest scans have become indispensable in thoracic radiology. Automating the analysis of such data is therefore, a necessity and this has created a rapidly developing research area in medical imaging. Segmentation of Region of Interest (ROI) is often a necessary first step to computer analysis. This paper presents a novel method of automizing the segmentation process of the lung nodules in computer aided diagnosis (CAD).