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

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 Quality...

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Detalles Bibliográficos
Autores principales: Zhong, Jingyu, Hu, Yangfan, Zhang, Guangcheng, Xing, Yue, Ding, Defang, Ge, Xiang, Pan, Zhen, Yang, Qingcheng, Yin, Qian, Zhang, Huizhen, Zhang, Huan, Yao, Weiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392674/
https://www.ncbi.nlm.nih.gov/pubmed/35986808
http://dx.doi.org/10.1186/s13244-022-01277-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392674/
https://www.ncbi.nlm.nih.gov/pubmed/35986808
http://dx.doi.org/10.1186/s13244-022-01277-6

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