Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3006
Título: An ultrasound based computer-aided diagnosis tool for steatosis detection
Autor: Ribeiro, Ricardo
Marinho, Rui
Sanches, João
Palavras-chave: Computer-aided diagnosis
Classification
Steatosis
Textural features
Ultrasound
Accuracy
Design automation
Feature extraction
Liver
Sensitivity
Speckle
Data: Jul-2014
Editora: IEEE
Citação: Ribeiro R, Marinho R, Sanches J. An ultrasound based computer-aided diagnosis tool for steatosis detection. IEEE J Biomed Health Inform. 2014;18(4):1397-403.
Resumo: Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool, to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.
Peer review: yes
URI: http://hdl.handle.net/10400.21/3006
DOI: 10.1109/JBHI.2013.2284785
Versão do Editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6623104
Aparece nas colecções:ESTeSL - Artigos

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