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Application of deep learning in the detection of breast lesions with four different breast densities.
Li, Hongmei; Ye, Jing; Liu, Hao; Wang, Yichuan; Shi, Binbin; Chen, Juan; Kong, Aiping; Xu, Qing; Cai, Junhui.
Afiliación
  • Li H; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
  • Ye J; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
  • Liu H; Yizhun Medical AI, Beijing, China.
  • Wang Y; Yizhun Medical AI, Beijing, China.
  • Shi B; School of Electronics Engineering and Computer Science, Peking University, Beijing, China.
  • Chen J; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
  • Kong A; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
  • Xu Q; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
  • Cai J; Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
Cancer Med ; 10(14): 4994-5000, 2021 07.
Article en En | MEDLINE | ID: mdl-34132495
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Mamografía / Densidad de la Mama / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Cancer Med Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Mamografía / Densidad de la Mama / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Cancer Med Año: 2021 Tipo del documento: Article País de afiliación: China