Automated skin thickening extraction in post radiotherapy mammograms via feedforward neural networks using histogram based segmentation and continuous hidden Markov model generated features

The purpose of this study is to establish an automated technique that accurately and effectively characterizes skin thickening in mammograms after breast conserving surgery and radiation therapy (BCS+RT).