Implementation of Resonant Inverter with in-Built Boost Converter

The objective of this work is to develop and implement a decision support system for an automated diagnosis and classification of mammogram images. The proposed method distinguishes two categories namely normal and abnormal (benign and malignant). For the each pre-processed mammogram images, 12 features are extracted. A decision making system for image classification is constructed by integrating fuzzy rules and decision tree called fuzzy decision tree (FDT). For classifying the mammogram images, hybrid fuzzy decision tree support system is used. The performance of the hybrid fuzzy decision tree support system is improved and it provides higher classification efficiency than other techniques.