V. N. Ilakkiya, P. RaviRaj, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.06.01
International Journal of Advanced Information and Communication Technology
Received On : February 12, 2016
Revised On : March 23, 2016
Accepted On : April 14, 2016
Published On : May 05, 2016
Volume 03, Issue 05
Pages : 478-481
Abstract
Tuberculosis is a second major health disease prevailing in today’s modern world. It is an infectious disease caused by various strains of Mycobacteria called Mycobacterium tuberculosis. Tuberculosis naturally affects the lungs, it also affects the other parts of the body. It is spread through the air when infected people cough, sneeze etc. Generally tuberculosis cause more deaths in the world rather than any other infectious disease 2 billion worldwide, 15 million in the United States, it kills 60% of the people when not treated. 3 million deaths worldwide occur every year. Diagnosing tuberculosis remain still a challenge when it is left undiagnosed the people with mortality rate becomes higher. Early ways of diagnosing tuberculosis are slow and unreliable. In an effect to reduce this disease this paper presents an automated approach for detecting tuberculosis in conventional posterior anterior chest radiographs. Unfortunately, the interpretation of CXRs is subject to human error. In addition, mass screening of a large population is a time-consuming and deadly task, which requires a large effort when done manually. For this reason, there is large curiosity in developing computer-aided diagnostic systems (CAD) that can detect TB automatically in CXRs. These systems have the possibility to decrease the hazard of detecting errors and increase the efficiency of mass screening efforts.
Keywords
Cloud Computing, Scientific Workflow, Task Replication, Soft Deadline, Scheduling Jobs.
Cite this article
V. N. Ilakkiya, P. RaviRaj, “A Survey on Inherent Selection of Tuberculosis using Chest Radiographs” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.478-481, May 05, 2016.
Copyright
© 2016 V. N. Ilakkiya, P. RaviRaj. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.