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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
The major area of research and development is the treatment of Lung cancer which results in maximum death probability. Initial detection of cancer can aid in the complete healing of cancer. There exist various methods for identifying lung cancer in this research work. To predict cancer, many researchers have submitted their research works. Most of these studies briefly explain regarding the typical identification of lung cancer methods that are examined in this research work. Various approaches have been developed to improve the effectiveness of cancer detection. Diagnosis of cancer employs a wide variety of applications such as neural networks, image processing as well as support vector machines which are addressed in this research.
Keyword
CT image,Digital Image Processing, Lung Cancer, Machine Learning, SVM.
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