Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging

BACKGROUND: The detection of Kirsten rat sarcoma viral oncogene homolog (KRAS) gene mutations in colorectal cancer (CRC) is key to the optimal design of individualized therapeutic strategies. The noninvasive prediction of the KRAS status in CRC is challenging. Deep learning (DL) in medical imaging h...

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Detalles Bibliográficos
Autores principales: He, Kan, Liu, Xiaoming, Li, Mingyang, Li, Xueyan, Yang, Hualin, Zhang, Huimao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268438/
https://www.ncbi.nlm.nih.gov/pubmed/32487083
http://dx.doi.org/10.1186/s12880-020-00457-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268438/
https://www.ncbi.nlm.nih.gov/pubmed/32487083
http://dx.doi.org/10.1186/s12880-020-00457-4

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