Artificial Neural Network-Based Classification System for  Lung Nodules on Computed Tomography Scans

Artificial Neural Network-Based Classification System for Lung Nodules on Computed Tomography Scans
Author(s):
Sheetal Vinayak Prabhu, Mr J.A.Shaikh
Keywords:
Computer-aided diagnosis (CAD) Segmentation, Extraction, Computer aided diagnosis, Region Growing, ROC, Features extraction, CT images(Computer tomography )
Abstract
The paper describes a neural-network-based system for the computer aided detection of lung nodules in chest radiograms. In recent years the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is very important to discover the disease in the patient as possible as fast, especially in various cancer types such as the lung cancer, breast cancer. Lung cancer is the second most commonly diagnosed cancer in world. Our approach is based on multiscale processing and artificial neural networks (ANNs). The automated Computer Aided Diagnosing (CAD) system is proposed in this paper for detection of lung cancer form the analysis of computed tomography images. In this paper we represent artifial neural network based lungs cancer detection system using CT images
Article Details
Unique Paper ID: 144921 Publication Volume & Issue: Volume 4, Issue 6 Page(s): 122 - 125
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org