• Register
  • Login

International Research Journal on Advanced Science Hub

  1. Home
  2. Computer Aided Detection of Nodule from Computed Tomography Images of Lung

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Editor and Reviewer guidelines

Digital Archiving & Preservation Policy

Copyright Terms

Licensing Terms

Editorial Process - Peer Reviewed

Computer Aided Detection of Nodule from Computed Tomography Images of Lung

    Authors

    • Vinod C 1
    • Menaka D 2

    1 Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumara coil, Tamil Nadu, India

    2 Electronics and Instrumentation Engineering, Noorul Islam Centre for Higher Education, Kumara coil, Tamil Nadu, India

,

Document Type : Research Article

10.47392/irjash.2021.073
  • Article Information
  • Download
  • Export Citation
  • Statistics
  • Share

Abstract

Lung diseases must be identified and treated in its early stages, otherwise it will lead to a serious irreversible condition. Interstitial Lung Diseases, presence of lung nodules etc. are most common but very difficult in identifying in its preliminary stages. Identification of the diseases at an earlier stage helps a lot in fast recovery of the patient. Early stage detection can be achieved by combining various detection methods to find the presence of abnormality. Advantage is that anyone in the many existing imaging systems, identifies the occurrence of   the abnormality in its earlier stage. So by using different imaging schemes it is possible to identify the disease. This can be tested with available data bases and existing results. The accuracy of the same can be evaluated to a certain extent. Here the paper tries to compare existing systems that are popular for the same and introduce a combinational system that may lead to an exponential growth in the applications of medical imaging techniques. The early detection and diagnosis of lung nodules can be done with the help of medical imaging systems.

Keywords

  • computer aided diagnosis
  • nodule detection
  • Feature Extraction
  • lung nodule
  • XML
  • PDF 213.99 K
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 123
    • PDF Download: 162
International Research Journal on Advanced Science Hub
Volume 3, Special Issue ICARD-2021 3S - Issue Serial Number 3
March 2021
Page 96-100
Files
  • XML
  • PDF 213.99 K
Share
Export Citation
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 123
  • PDF Download: 162

APA

C, V., & D, M. (2021). Computer Aided Detection of Nodule from Computed Tomography Images of Lung. International Research Journal on Advanced Science Hub, 3(Special Issue ICARD-2021 3S), 96-100. doi: 10.47392/irjash.2021.073

MLA

Vinod C; Menaka D. "Computer Aided Detection of Nodule from Computed Tomography Images of Lung". International Research Journal on Advanced Science Hub, 3, Special Issue ICARD-2021 3S, 2021, 96-100. doi: 10.47392/irjash.2021.073

HARVARD

C, V., D, M. (2021). 'Computer Aided Detection of Nodule from Computed Tomography Images of Lung', International Research Journal on Advanced Science Hub, 3(Special Issue ICARD-2021 3S), pp. 96-100. doi: 10.47392/irjash.2021.073

VANCOUVER

C, V., D, M. Computer Aided Detection of Nodule from Computed Tomography Images of Lung. International Research Journal on Advanced Science Hub, 2021; 3(Special Issue ICARD-2021 3S): 96-100. doi: 10.47392/irjash.2021.073

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Glossary
  • Sitemap

News

  • Open access Journal partner with NIT Puducherry 2023-02-16

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal Management System. Powered by ejournalplus