Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization
We develop a new method for categorizing findings in mammograms according to BIRADS. We use fuzzy logic to model a computer-aided diagnosis tool. We construct a fuzzy inference system. The system shows a degree of pertinence of a finding to each BIRADS category. The system achieved an accuracy of 76.7% for nodules and 83.3% for calcifications.
computer-aided diagnosis fuzzy logic breast cancer decision support healthcare informatics