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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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| Vydáno v: | Transl Oncol |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Neoplasia Press
2018
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| Témata: | |
| On-line přístup: | 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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