title: A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent.
abstract: BACKGROUND
  The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research.
  
  
  METHODS
  The proposed model in this paper is a combination of surf and corners that are very resistant. Obtained features are resistant to changes in rotation and revolution then with the help of active contours, this feature has been used for segmenting cancerous areas.
  
  
  RESULTS
  Comparing the obtained results from the proposed method and mammogram show that proposed method is Accurate and appropriate. Benign and malignance of segmented areas are detected by Lyapunov exponent. Values obtained include TP=91.31%, FN=8.69%, FP=7.26%.
  
  
  CONCLUSIONS
  The proposed method can classify those abnormally segmented areas of the breast, to the Benign and malignant cancer.
authors.affiliation: Dept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, Iran.
authors.forename: Hossein
authors.initials: H
authors.lastname: Ghayoumi Zadeh
authors.affiliation: Dept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, Iran.
authors.forename: Javad
authors.initials: J
authors.lastname: Haddadnia
authors.affiliation: Dept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, Iran.
authors.forename: Alimohammad
authors.initials: A
authors.lastname: Montazeri
keywords: Active contour; Breast cancer; Surf and sift algorithm; Thermography