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MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
He, Kelei; Lian, Chunfeng; Adeli, Ehsan; Huo, Jing; Gao, Yang; Zhang, Bing; Zhang, Junfeng; Shen, Dinggang.
Afiliación
  • He K; Medical School of Nanjing University, Nanjing, China; National Institute of Healthcare Data Science at Nanjing University, Nanjing, China.
  • Lian C; School of Mathematics and Statistics, Xi'an Jiaotong University, Shanxi, China.
  • Adeli E; Department of Psychiatry and Behavioral Sciences and the Department of Computer Science, Stanford University, CA, USA.
  • Huo J; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.
  • Gao Y; National Institute of Healthcare Data Science at Nanjing University, Nanjing, China; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.
  • Zhang B; Department of Radiology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
  • Zhang J; Medical School of Nanjing University, Nanjing, China; National Institute of Healthcare Data Science at Nanjing University, Nanjing, China. Electronic address: jfzhang@nju.edu.cn.
  • Shen D; School of Biomedical Engineering, ShanghaiTech University, Shanghai, China; Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China; Department of Artificial Intelligence, Korea University, Seoul 02841, Republic of Korea. Electronic address: Dinggang.S
Med Image Anal ; 71: 102039, 2021 07.
Article en En | MEDLINE | ID: mdl-33831595
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Tomografía Computarizada por Rayos X Límite: Humans / Male Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Tomografía Computarizada por Rayos X Límite: Humans / Male Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: China