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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Bibliographic Details
Published in:Front Oncol
Main Authors: Yin, Ping, Mao, Ning, Chen, Hao, Sun, Chao, Wang, Sicong, Liu, Xia, Hong, Nan
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2020
Subjects:
Oncology
Online Access: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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