International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 79
Paper Published : 1191
No. of Authors : 2992
  Journal Paper

Paper Title
Tumor Detection Using Fuzzy Logic And GMRF

Abstract
Breast cancer is one of the most common cancers worldwide. In developed countries, among one in eight women develop breast cancer at some stage of their life. Early diagnosis of breast cancer plays a very important role in treatment of the disease. With the goal of identifying genes that are more correlated with the prognosis of breast cancer. An algorithm based on Fuzzy logic and GMRF property is used for the detection of the cancer tumors. Fuzzy logic and markov random fields work in real time. We also try to show its performance by comparing it with the existing real time algorithm that uses only markov random fields. This is not only suitable for the detection of the tumors, but also suitable for various general applications like in the detection of object in an image etc. Keywords- Tumors, GMRF texture, Segmentation, Fuzzy Logic.


Author - Nithin Krishna. J, Mohammad Aslam. C, Satya Narayana. D, Padma Priya. K

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