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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.
Afiliación
  • 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 en Zh | MEDLINE | ID: mdl-19459342
ABSTRACT
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.
Asunto(s)
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Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Análisis Numérico Asistido por Computador / Encefalopatías Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Año: 2009 Tipo del documento: Article
Buscar en Google
Banco de datos: MEDLINE Asunto principal: Algoritmos / Procesamiento de Imagen Asistido por Computador / Análisis Numérico Asistido por Computador / Encefalopatías Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Año: 2009 Tipo del documento: Article