Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors

Machine and Deep Learning Based Radiomics Models for Preoperative Prediction of Benign and Malignant Sacral Tumors

PurposeTo 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 methodsThis single-center retrospective analysis included 459 patients with pathol...

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Bibliographic Details
Main Authors: Ping Yin, Ning Mao, Hao Chen, Chao Sun, Sicong Wang, Xia Liu, Nan Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Oncology
Subjects:
deep learning
radiomics
sacral tumors
machine learning
computed tomography
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.564725/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.564725/full

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