RSP Science Hub
  • Register
  • Login

International Research Journal on Advanced Science Hub

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 3, Issue Special Issue ICARD-2021 3S
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Digital Archiving & Preservation Policy

Editor and Reviewer guidelines

Computer Aided Detection of Nodule from Computed Tomography Images of Lung

    Vinod C Menaka D

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICARD-2021 3S, Pages 96-100
10.47392/irjash.2021.073

  • Show Article
  • Download
  • Cite
  • 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
  • PDF (214 K)
  • XML
(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
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
(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
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
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 110
  • PDF Download: 151
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus