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

•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. With advancements in machine learning algorit...

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Veröffentlicht in:	Expert systems with applications 2017-12, Vol.90, p.209-223
Hauptverfasser:	Singh, Bikesh Kumar, Verma, Kesari, Panigrahi, Lipismita, Thoke, A.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Back propagation networks Breast cancer Breast tumor classification CAD CAI Computer aided design Computer assisted instruction Diagnostic systems Feature extraction Feedback Filtration Image acquisition Image classification Lesions Machine learning Neural network Neural networks Noise reduction Radiologist opinion Support vector machine Support vector machines Ultrasonic testing Ultrasound Wavelet
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