An Automated Confirmatory System for Analysis of Mammograms
This paper presents an integrated system for the automatic analysis of mammograms to assist radiologists in confirming their diagnosis in mammography screening. The proposed system consists of four off-line stages: Image Pre-processing and Segmentation Feature extraction Selection of fundamental features using Rough Set theory Training of an Artificial Neural Network Once the system is trained and tuned, is ready for its on-line use. Here the system is successfully tested on two independent databases.
mammogram computer-aided-diagnosis breast-cancer texture-feature rough-set theory artificial neural-networks