Building an ensemble system for diagnosing masses in mammograms

  title={Building an ensemble system for diagnosing masses in mammograms},
  author={Yu Zhang and Noriko Tomuro and Jacob D. Furst and Daniela Stan Raicu},
  journal={International Journal of Computer Assisted Radiology and Surgery},
Classification of a suspicious mass (region of interest, ROI) in a mammogram as malignant or benign may be achieved using mass shape features. An ensemble system was built for this purpose and tested. Multiple contours were generated from a single ROI using various parameter settings of the image enhancement functions for the segmentation. For each segmented contour, the mass shape features were computed. For classification, the dataset was partitioned into four subsets based on the patient age… CONTINUE READING
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