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[Algorithm of brain pathology detection based on statistical atlas of attribute vectors].
Li, Chuan-fu; Feng, Huan-qing; Liu, Weil; Han, Zhen; Sun, Tao.
Afiliação
  • Li CF; Dept. of Electronic Science and Technology, USTC, Hefei, 230027. licf@mail.ustc.edu.cn
Zhongguo Yi Liao Qi Xie Za Zhi ; 33(1): 7-10, 2009 Jan.
Article em Zh | MEDLINE | ID: mdl-19459342
To detect lesions of brain CT automatically, a statistical atlas of attribute vectors (SAAV) was designed and created to describe the multiple features of medical images. By comparing the features of study image with those of SAAV, we successfully detected various kinds of brain lesion. It was demonstrated that the algorithm is effective in detecting various kinds of lesions found on brain CT images. Further studies are needed to make the algorithm more acceptable.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador / Análise Numérica Assistida por Computador / Encefalopatias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2009 Tipo de documento: Article
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador / Análise Numérica Assistida por Computador / Encefalopatias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2009 Tipo de documento: Article