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Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors
PURPOSE: To assess the performance of deep neural network (DNN) and machine learning based radiomics on 3D computed tomography (CT) and clinical characteristics to predict benign or malignant sacral tumors. MATERIALS AND METHODS: This single-center retrospective analysis included 459 patients with p...
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| 出版年: | Front Oncol |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7596901/ https://ncbi.nlm.nih.gov/pubmed/33178593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.564725 |
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