Feature Extraction and Rule Classification Algorithm of Digital Mammography based on Rough Set Theory

@inproceedings{Hassanien2003FeatureEA,
  title={Feature Extraction and Rule Classification Algorithm of Digital Mammography based on Rough Set Theory},
  author={Aboul Ella Hassanien and Jafar M. H. Ali},
  year={2003}
}
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents an efficient classification algorithm in digital mammograms in the context of rough set theory. Feature extractions acquired in this work are derived from the gray-level co-occurrence matrix. The features are extracted, normalized and then the rough set dependency rules are generated directly from the real value attribute vector. Then the… CONTINUE READING

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