Interval symbolic feature extraction for thermography breast cancer detection

  title={Interval symbolic feature extraction for thermography breast cancer detection},
  author={Marcus C. Ara{\'u}jo and Rita C. F. Lima and Renata M. C. R. de Souza},
  journal={Expert Syst. Appl.},
Breast cancer is one of the leading causes of death in women. Recent studies involving the use of thermal imaging as a screening technique have generated a growing interest especially in cases where the mammography is limited, as in young patients who have dense breast tissue. The aim of this work is to evaluate the feasibility of using interval data in the symbolic data analysis (SDA) framework to model breast abnormalities (malignant, benign and cyst) in order to detect breast cancer. SDA… CONTINUE READING


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