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Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features

Sheldon S. Williamson, K. Vijayakumar, Vinod J. Kadam

2021Multimedia Tools and Applications44 citationsDOI

Topics & Concepts

Random forestBreast cancerComputer scienceMammographyClassifier (UML)BiopsyBI-RADSFeature selectionArtificial intelligenceEstimatorMedicineMachine learningBreast cancer screeningCancerRadiologyPattern recognition (psychology)StatisticsInternal medicineMathematicsAI in cancer detectionGene expression and cancer classificationImage Retrieval and Classification Techniques
Predicting breast cancer biopsy outcomes from BI-RADS findings using random forests with chi-square and MI features | Litcius