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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Detalles Bibliográficos
Autores principales: Yin, Ping, Mao, Ning, Chen, Hao, Sun, Chao, Wang, Sicong, Liu, Xia, Hong, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596901/
https://www.ncbi.nlm.nih.gov/pubmed/33178593
http://dx.doi.org/10.3389/fonc.2020.564725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596901/
https://www.ncbi.nlm.nih.gov/pubmed/33178593
http://dx.doi.org/10.3389/fonc.2020.564725

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