An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

An updated systematic review of radiomics in osteosarcoma: utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

Abstract Objective To update the systematic review of radiomics in osteosarcoma. Methods PubMed, Embase, Web of Science, China National Knowledge Infrastructure, and Wanfang Data were searched to identify articles on osteosarcoma radiomics until May 15, 2022. The studies were assessed by Radiomics Q...

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Bibliographic Details
Main Authors: Jingyu Zhong, Yangfan Hu, Guangcheng Zhang, Yue Xing, Defang Ding, Xiang Ge, Zhen Pan, Qingcheng Yang, Qian Yin, Huizhen Zhang, Huan Zhang, Weiwu Yao
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:Insights into Imaging
Subjects:
Osteosarcoma
Radiomics
Machine learning
Quality improvement
Systematic review
Online Access:https://doi.org/10.1186/s13244-022-01277-6

Internet

https://doi.org/10.1186/s13244-022-01277-6

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