@article{(Open Science Index):https://publications.waset.org/pdf/1180,
	  title     = {Automatic Detection of Mass Type Breast Cancer using Texture Analysis in Korean Digital Mammography},
	  author    = {E. B. Jo and  J. H. Lee and  J. Y. Park and  S. M. Kim},
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, we present an advanced detection
technique for mass type breast cancer based on texture information
of organs. The proposed method detects the cancer areas in three
stages. In the first stage, the midpoints of mass area are determined
based on AHE (Adaptive Histogram Equalization). In the second
stage, we set the threshold coefficient of homogeneity by using
MLE (Maximum Likelihood Estimation) to compute the uniformity
of texture. Finally, mass type cancer tissues are extracted from the
original image. As a result, it was observed that the proposed
method shows an improved detection performance on dense breast
tissues of Korean women compared with the existing methods. It is
expected that the proposed method may provide additional
diagnostic information for detection of mass-type breast cancer.},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {6},
	  number    = {4},
	  year      = {2012},
	  pages     = {62 - 66},
	  ee        = {https://publications.waset.org/pdf/1180},
	  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},
	}