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| Titel: |
Intelligent Mammography Database Management System for a Computer Aided Breast Cancer Detection and Diagnosis |
| Auteur: |
Isaac Adusei Ognjen Kuljaca Kwabena Agyepong |
| Verschenen in: |
International journal of managing information technology |
| Paginering: | Jaargang 2 (2010) nr. 2 pagina's 1-13 |
| Jaar: |
2010 |
| Inhoud: |
To efficiently and intelligently archive, retrieve, and analyze digitized mammogram images in breast cancerdetection, a robust knowledge based system needs to be developed to provide decision support to radiologistsand researchers. A Mammography database is therefore designed for the development of a knowledge base tosupport the detection and diagnosis as well as research in mammography. The system also has implementedComputer Aided Detection (CAD) and Diagnosis (CADx) information system of digitized mammogramimages to aid in breast cancer detection. In this paper, we will outline the architectural design for theCAD/CADx system and then focus primarily on the design and modeling of the mammography database. Thedatabase design combined two standards, the Breast Imaging Reporting and Data System (BI-RADS) byAmerican College of Radiology and the Facility Oncology Registry Data Standards (FORDS) by theCommission on Cancer standards. The complete system is in final development and debugging phase. |
| Uitgever: |
Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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