Extracting calcification ROIs in mammograms using 2DPCA
Rui Dong · Journal of Jining Medical University · 2011
Objective In order to preprocess mammograms for diagnosing the early cases of breast cancer and realize the computer-aided detection of micro-calcifications in mammograms,this paper presented a method based on two-dimensional principal component analysis(2DPCA) to extract the region of interests(ROI) automatically.Methods First we preprocessed the mammograms,and then extracted mammography features by 2DPCA method and edge-detection algorithm.Finally,ROI was extracted by neural network classifier.Results The results showed that we obtained better positive detection ratio with this method.Conclusion Our method could obtain better extraction effect by integrating 2DPCA algorithm,edge-detection algorithm and neural network.