Development of a CAD system for automatic classification of microcalcifications based on FPGA
Carregando...
Fonte externa
Fonte externa
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Fonte externa
Fonte externa
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.
Descrição
Palavras-chave
Image classification, Cancer detection, Mammography, Embedded software
Idioma
Inglês
Citação
2013 Aasri Conference On Intelligent Systems And Control. Amsterdam: Elsevier Science Bv, v. 4, p. 90-95, 2013.
