@article{(Open Science Index):https://publications.waset.org/pdf/14738,
	  title     = {An Overview of the Application of Fuzzy Inference System for the Automation of Breast Cancer Grading with Spectral Data},
	  author    = {Shabbar Naqvi and  Jonathan M. Garibaldi},
	  country	= {},
	  institution	= {},
	  abstract     = {Breast cancer is one of the most frequent occurring cancers in women throughout the world including U.K. The grading of this cancer plays a vital role in the prognosis of the disease. In this paper we present an overview of the use of advanced computational method of fuzzy inference system as a tool for the automation of breast cancer grading. A new spectral data set obtained from Fourier Transform Infrared Spectroscopy (FTIR) of cancer patients has been used for this study. The future work outlines the potential areas of fuzzy systems that can be used for the automation of breast cancer grading.
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {6},
	  number    = {4},
	  year      = {2012},
	  pages     = {108 - 112},
	  ee        = {https://publications.waset.org/pdf/14738},
	  url   	= {https://publications.waset.org/vol/64},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 64, 2012},
	}