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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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Bibliografski detalji
Izdano u:Med Phys
Glavni autori: Zhu, Yulian, Wang, Li, Liu, Mingxia, Qian, Chunjun, Yousuf, Ambereen, Oto, Aytekin, Shen, Dinggang
Format: Artigo
Jezik:Inglês
Izdano: John Wiley and Sons Inc. 2017
Teme:
Online pristup: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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