Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI

06/27/2016
by   Cristina Gallego-Ortiz, et al.
0

High predictive performance and ease of use and interpretability are important requirements for the applicability of a computer-aided diagnosis (CAD) to human reading studies. We propose a CAD system specifically designed to be more comprehensible to the radiologist reviewing screening breast MRI studies. Multiparametric imaging features are combined to produce a CAD system for differentiating cancerous and non-cancerous lesions. The complete system uses a rule-extraction algorithm to present lesion classification results in an easy to understand graph visualization.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset