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MRI‐based prostate cancer detection with high‐level representation and hierarchical classification

PURPOSE: Extracting the high‐level feature representation by using deep neural networks for detection of prostate cancer, and then based on high‐level feature representation constructing hierarchical classification to refine the detection results. METHODS: High‐level feature representation is first...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Zhu, Yulian, Wang, Li, Liu, Mingxia, Qian, Chunjun, Yousuf, Ambereen, Oto, Aytekin, Shen, Dinggang
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5540150/
https://ncbi.nlm.nih.gov/pubmed/28107548
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12116
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