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A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors()

OBJECTIVES: To investigate the effect of transfer learning on computed tomography (CT) images for the benign and malignant classification on renal tumors and to attempt to improve the classification accuracy by building patient-level models. METHODS: One hundred ninety-two cases of renal tumors were...

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發表在:Transl Oncol
Main Authors: Zhou, Leilei, Zhang, Zuoheng, Chen, Yu-Chen, Zhao, Zhen-Yu, Yin, Xin-Dao, Jiang, Hong-Bing
格式: Artigo
語言:Inglês
出版: Neoplasia Press 2018
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6299150/
https://ncbi.nlm.nih.gov/pubmed/30448734
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.tranon.2018.10.012
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