Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis

OBJECTIVE: The purpose of this study was to investigate the feasibility of applying handcrafted radiomics (HCR) and deep learning-based radiomics (DLR) for the accurate preoperative classification of glioblastoma (GBM) and solitary brain metastasis (BM). METHODS: A retrospective analysis of the magn...

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Detalles Bibliográficos
Autores principales: Liu, Zhiyuan, Jiang, Zekun, Meng, Li, Yang, Jun, Liu, Ying, Zhang, Yingying, Peng, Haiqin, Li, Jiahui, Xiao, Gang, Zhang, Zijian, Zhou, Rongrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195660/
https://www.ncbi.nlm.nih.gov/pubmed/34188680
http://dx.doi.org/10.1155/2021/5518717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195660/
https://www.ncbi.nlm.nih.gov/pubmed/34188680
http://dx.doi.org/10.1155/2021/5518717

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