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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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書誌詳細
出版年:Front Oncol
主要な著者: Yin, Ping, Mao, Ning, Chen, Hao, Sun, Chao, Wang, Sicong, Liu, Xia, Hong, Nan
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2020
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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