Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/4899
Título: Fatty liver automatic diagnosis from ultrasound images
Autor: Ribeiro, Ricardo
Seabra, José
Sanches, João
Palavras-chave: Radiology
Ultrasound image
Liver steatosis
Clinical diagnosis
Data: 2008
Citação: Ribeiro R, Seabra J, Sanches J. Fatty liver automatic diagnosis from ultrasound images. In Proceedings of RecPad 2008 - 14th Portuguese Conference on Pattern Recognition, Coimbra, October 31, 2008.
Resumo: In this paper an automatic classification algorithm is proposed for the diagnosis of the liver steatosis, also known as, fatty liver, from ultrasound images. The features, automatically extracted from the ultrasound images used by the classifier, are basically the ones used by the physicians in the diagnosis of the disease based on visual inspection of the ultrasound images. The main novelty of the method is the utilization of the speckle noise that corrupts the ultrasound images to compute textural features of the liver parenchyma relevant for the diagnosis. The algorithm uses the Bayesian framework to compute a noiseless image, containing anatomic and echogenic information of the liver and a second image containing only the speckle noise used to compute the textural features. The classification results, with the Bayes classifier using manually classified data as ground truth show that the automatic classifier reaches an accuracy of 95% and a 100% of sensitivity.
Peer review: yes
URI: http://hdl.handle.net/10400.21/4899
Versão do Editor: http://users.isr.ist.utl.pt/~jmrs/research/publications/myPapers/2008/2008_RecPad_RRibeiro.pdf
Aparece nas colecções:ESTeSL - Artigos

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