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International Journal of Biomedical Imaging
Volume 2018, Article ID 9752638, 11 pages
https://doi.org/10.1155/2018/9752638
Research Article

Review: On Segmentation of Nodules from Posterior and Anterior Chest Radiographs

1JNTU College of Engineering, Hyderabad, India
2Department of E.C.E, JNTU College of Engineering, Hyderabad, India

Correspondence should be addressed to T. Satya Savithri; moc.liamg@aytasalamurit

Received 28 June 2018; Revised 11 September 2018; Accepted 17 September 2018; Published 18 October 2018

Academic Editor: Jun Zhao

Copyright © 2018 S. K. Chaya Devi and T. Satya Savithri. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Lung cancer is one of the major types of cancer in the world. Survival rate can be increased if the disease can be identified early. Posterior and anterior chest radiography and computerized tomography scans are the most used diagnosis techniques for detecting tumor from lungs. Posterior and anterior chest radiography requires less radiation dose and is available in most of the diagnostic centers and it costs less compared to the remaining diagnosis techniques. So PA chest radiography became the most commonly used technique for lung cancer detection. Because of superimposed anatomical structures present in the image, sometimes radiologists cannot find abnormalities from the image. To help radiologists in diagnosing tumor from PA chest radiographic images range of CAD scheme has been developed for the past three decades. These computerized tools may be used by radiologists as a second opinion in detecting tumor. Literature survey on detecting tumors from chest graphs is presented in this paper.