Automatic detection of abnormal mammograms in mammographic images
作者：
Highlights：
• We develop a computer aided system to detect abnormal mammograms.
• We extract only 5 features of intensity and gradient for mass detection.
• Principal component analysis is applied to determine the feature weights.
• The abnormality detection classifier by feature weight adjustments is proposed.
• We evaluate our method upon 2 different datasets.
摘要
•We develop a computer aided system to detect abnormal mammograms.•We extract only 5 features of intensity and gradient for mass detection.•Principal component analysis is applied to determine the feature weights.•The abnormality detection classifier by feature weight adjustments is proposed.•We evaluate our method upon 2 different datasets.
论文关键词：Digital mammography,Preprocessing,Pectoral muscle suppression,Feature extraction,Principal component analysis
论文评审过程：Available online 4 December 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2014.11.061
