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Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images.
Pranata, Yoga Dwi; Wang, Kuan-Chung; Wang, Jia-Ching; Idram, Irwansyah; Lai, Jiing-Yih; Liu, Jia-Wei; Hsieh, I-Hui.
Afiliación
  • Pranata YD; Department of Computer Science and Information Engineering, National Central University, Jhongli County, Taoyuan City, Taiwan.
  • Wang KC; Department of Computer Science and Information Engineering, National Central University, Jhongli County, Taoyuan City, Taiwan.
  • Wang JC; Department of Computer Science and Information Engineering, National Central University, Jhongli County, Taoyuan City, Taiwan. Electronic address: jcw@csie.ncu.edu.tw.
  • Idram I; Department of Mechanical Engineering, National Central University, Jhongli County, Taoyuan City, Taiwan.
  • Lai JY; Department of Mechanical Engineering, National Central University, Jhongli County, Taoyuan City, Taiwan.
  • Liu JW; Institute of Cognitive Neuroscience, National Central University, Jhongli County, Taoyuan City, Taiwan.
  • Hsieh IH; Institute of Cognitive Neuroscience, National Central University, Jhongli County, Taoyuan City, Taiwan. Electronic address: ihsieh@cc.ncu.edu.tw.
Comput Methods Programs Biomed ; 171: 27-37, 2019 Apr.
Article en En | MEDLINE | ID: mdl-30902248
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calcáneo / Tomografía Computarizada por Rayos X / Fracturas Óseas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calcáneo / Tomografía Computarizada por Rayos X / Fracturas Óseas / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Taiwán