Publicação: Development of a CAD system for automatic classification of microcalcifications based on FPGA
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Elsevier B.V.
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Acesso aberto
Resumo
This paper presents a Computer Aided Diagnosis (CAD) system that automatically classifies microcalcifications detected on digital mammograms into one of the five types proposed by Michele Le Gal, a classification scheme that allows radiologists to determine whether a breast tumor is malignant or not without the need for surgeries. The developed system uses a combination of wavelets and Artificial Neural Networks (ANN) and is executed on an Altera DE2-115 Development Kit, a kit containing a Field-Programmable Gate Array (FPGA) that allows the system to be smaller, cheaper and more energy efficient. Results have shown that the system was able to correctly classify 96.67% of test samples, which can be used as a second opinion by radiologists in breast cancer early diagnosis. (C) 2013 The Authors. Published by Elsevier B.V.
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Image classification, Cancer detection, Mammography, Embedded software
Idioma
Inglês
Como citar
2013 Aasri Conference On Intelligent Systems And Control. Amsterdam: Elsevier Science Bv, v. 4, p. 90-95, 2013.
