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A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Jiang, Huiyan; Diao, Zhaoshuo; Shi, Tianyu; Zhou, Yang; Wang, Feiyu; Hu, Wenrui; Zhu, Xiaolin; Luo, Shijie; Tong, Guoyu; Yao, Yu-Dong.
Afiliación
  • Jiang H; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China; Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, Chin
  • Diao Z; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Shi T; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Zhou Y; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Wang F; Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Hu W; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Zhu X; Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Luo S; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Tong G; Software College, Northeastern University, No. 195, Chuangxin Road, Hunnan District, Shenyang, 110169, Liaoning, China.
  • Yao YD; Department of Electrical and Computer Engineering, Stevens Institute of Technology, 1 Castle Point Ter, Hoboken, NJ 07030, NJ, USA.
Comput Biol Med ; 157: 106726, 2023 05.
Article en En | MEDLINE | ID: mdl-36924732
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos