Different Approaches of ANN for Detection of Cancer
Rakhi Nautiyal1, Priyanka Dahiya2, Anil Dahiya3

Manuscript received on 26 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 12 April 2019 | PP: 88-93 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90360476C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Lung cancer is a very serious disease in current time. If cancer is detect its early stage, and then survival rate of patient is increase. Here a system is designed for detecting lung cancer in early stage .this system is consist of two major phases first is digital image processing techniques for enhance the quality and appearance of the image and the second one is apply neural network techniques for classifications of cancer. The system works as. First image is enhanced using image enhancement techniques, then suspected region for tumor part is detected using various region growing algorithms, when the suspected region is detected then based on that region 25 features is calculated using GLCM. Then classify them using back propagation and radial bias neural network approaches. Comparison of both the Ann techniques for classification radial bias gives better accuracy.
Keywords: About Four Key Words or Phrases in Alphabetical Order, Separated By Commas.
Scope of the Article: Reflection and Metadata Approaches