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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Bibliographische Detailangaben
Veröffentlicht in:Front Oncol
Hauptverfasser: Yin, Ping, Mao, Ning, Chen, Hao, Sun, Chao, Wang, Sicong, Liu, Xia, Hong, Nan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2020
Schlagworte:
Oncology
Online Zugang: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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