Intelligent Mammography Database Management System for a Computer Aided Breast Cancer Detection and Diagnosis
Isaac Adusei, Ognjen Kuljača, Kwabena Agyepong · International Journal of Managing Information Technology · 2010
To efficiently and intelligently archive, retrieve, and analyze digitized mammogram images in breast cancer detection, a robust knowledge based system needs to be developed to provide decision support to radiologists and researchers.A Mammography database is therefore designed for the development of a knowledge base to support the detection and diagnosis as well as research in mammography.The system also has implemented Computer Aided Detection (CAD) and Diagnosis (CADx) information system of digitized mammogram images to aid in breast cancer detection.In this paper, we will outline the architectural design for the CAD/CADx system and then focus primarily on the design and modeling of the mammography database. The database design combined two standards, the Breast Imaging Reporting and Data System (BI-RADS) by American College of Radiology and the Facility Oncology Registry Data Standards (FORDS) by the Commission on Cancer standards. The complete system is in final development and debugging phase.