1. Support Vector Machines to aid breast cancer diagnosis using a microwave radar prototype
- Author
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Daniela M. Godinho, Ian Craddock, Dallan Byrne, and Raquel C. Conceicao
- Subjects
Computer science ,business.industry ,Quantitative Biology::Tissues and Organs ,Physics::Medical Physics ,020208 electrical & electronic engineering ,020206 networking & telecommunications ,Pattern recognition ,02 engineering and technology ,medicine.disease ,Microwave radar ,law.invention ,Support vector machine ,Tumour tissue ,Microwave imaging ,Breast cancer ,law ,Computer Science::Computer Vision and Pattern Recognition ,0202 electrical engineering, electronic engineering, information engineering ,False positive paradox ,medicine ,Artificial intelligence ,Radar ,business ,Classifier (UML) - Abstract
In this paper we use Support Vector Machines (SVM) to aid breast cancer diagnosis using the microwave imaging radar prototype from the University of Bristol. We extract features from the electromagnetic signals collected with a microwave imaging system and classify them with a SVM classifier. The classifier will give an indication on whether the electromagnetic signals are more likely to belong to a focal point in the breast corresponding to healthy tissue — a “miss” — or to tumour tissue — a “hit”. The proposed work has the potential to ultimately aid microwave imaging and help avoid false positives and detect tumours that were imaged as false negatives.
- Published
- 2017
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