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Another approach to detection of abnormalities in MR-images using support vector machines

Behnamghader, E ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/ISPA.2007.4383671
  3. Publisher: 2007
  4. Abstract:
  5. In this paper we will address two major problems in mammogram analysis for breast cancer in MR-images. The first is classification between normal and abnormal cases and then, discrimination between benign and malignant in cancerous cases. Our proposed method extracts textural and statistical descriptive features that are fed to a learning engine based on the use of Support Vector Machine learning framework to categorize them. The obtained results show excellent accuracy in both classification problems, that proves the appropriate combination of our features and selecting powerful classifier i.e. Support Vector Machine leads us to a brilliant outcome
  6. Keywords:
  7. Breast cancers ; Learning engines ; Machine learnings ; Support vectors ; Gears ; Image enhancement ; Image retrieval ; Learning systems ; Multilayer neural networks ; Signal processing ; Vectors ; Support vector machines
  8. Source: ISPA 2007 - 5th International Symposium on Image and Signal Processing and Analysis, Istanbul, 27 September 2007 through 29 September 2007 ; 2007 , Pages 98-101 ; 9789531841160 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4383671