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A method for distinguishing benign and malignant pulmonary nodules based on 3D dual path network aided by K-means clustering analysis.
Gao, Dachuan; Ye, Xiaodan; Hou, Xuewen; Chen, Yang; Kong, Xue; Xie, Yuanzhong; Nie, Shengdong.
Afiliación
  • Gao D; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Ye X; Department of Radiology, Shanghai Chest Hospital, Shanghai 200030, China.
  • Hou X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Chen Y; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • Kong X; Medical Imaging Center, Tai'an Center Hospital, Tai'an 271000, China.
  • Xie Y; Medical Imaging Center, Tai'an Center Hospital, Tai'an 271000, China. xie01088@126.com.
  • Nie S; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. xie01088@126.com, nsd4647@163.com.
J Zhejiang Univ Sci B ; 23(11): 957-967, 2022 Nov 15.
Article en En | MEDLINE | ID: mdl-36379614
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: J Zhejiang Univ Sci B Asunto de la revista: BIOLOGIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Female / Humans / Male Idioma: En Revista: J Zhejiang Univ Sci B Asunto de la revista: BIOLOGIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: China