Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/3015
Título: Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data
Autor: Ribeiro, Ricardo
Marinho, Rui
Velosa, José
Ramalho, Fernando
Sanches, João
Palavras-chave: Chronic liver disease
Cirrhosis
Contour detection
Ultrasound
Classification
Pattern recognition
Computer imaging
Image processing
Artificial intelligence
Data: 2011
Editora: Springer
Citação: Ribeiro R, Marinho R, Velosa J, Ramalho F, Sanches J. Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data. In Vitrià J, Sanches JM, Hernández M, editors. Pattern recognition and image analysis. Berlin: Springer; 2011. p. 167-75.
Resumo: In this work liver contour is semi-automatically segmented and quantified in order to help the identification and diagnosis of diffuse liver disease. The features extracted from the liver contour are jointly used with clinical and laboratorial data in the staging process. The classification results of a support vector machine, a Bayesian and a k-nearest neighbor classifier are compared. A population of 88 patients at five different stages of diffuse liver disease and a leave-one-out cross-validation strategy are used in the classification process. The best results are obtained using the k-nearest neighbor classifier, with an overall accuracy of 80.68%. The good performance of the proposed method shows a reliable indicator that can improve the information in the staging of diffuse liver disease.
Peer review: yes
URI: http://hdl.handle.net/10400.21/3015
ISBN: 978-3-642-21257-4
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-642-21257-4_21
Aparece nas colecções:ESTeSL - Capítulos ou partes de livros

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