Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer

BACKGROUND: It has been believed that traditional handcrafted radiomic features extracted from magnetic resonance imaging (MRI) of tumors are normally shallow and low-ordered. Recent advancement in deep learning technology shows that the high-order deep radiomic features extracted automatically from...

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Detalles Bibliográficos
Autores principales: Liu, Qian, Hu, Pingzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872423/
https://www.ncbi.nlm.nih.gov/pubmed/36694221
http://dx.doi.org/10.1186/s40364-023-00455-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872423/
https://www.ncbi.nlm.nih.gov/pubmed/36694221
http://dx.doi.org/10.1186/s40364-023-00455-y

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