Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm

作者：

Highlights：

• New hybrid classification approach by integrating BPANN and SVM is developed.

• Radiologist opinion is incorporated in CAD system.

• Integrating radiologists opinion in CAD systems improves its overall performance.

• Proposed method outperforms existing ones.

摘要

•New hybrid classification approach by integrating BPANN and SVM is developed.•Radiologist opinion is incorporated in CAD system.•Integrating radiologists opinion in CAD systems improves its overall performance.•Proposed method outperforms existing ones.

论文关键词：Breast tumor classification,Ultrasound,Neural network,Support vector machine,Machine learning,Radiologist opinion

论文评审过程：Received 8 March 2017, Revised 21 July 2017, Accepted 10 August 2017, Available online 12 August 2017, Version of Record 21 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.020