Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is invasive and may suffer from the difficulty of acce...

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Detalles Bibliográficos
Autores principales: Wang, Shuo, Shi, Jingyun, Ye, Zhaoxiang, Dong, Di, Yu, Dongdong, Zhou, Mu, Liu, Ying, Gevaert, Olivier, Wang, Kun, Zhu, Yongbei, Zhou, Hongyu, Liu, Zhenyu, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437603/
https://www.ncbi.nlm.nih.gov/pubmed/30635290
http://dx.doi.org/10.1183/13993003.00986-2018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437603/
https://www.ncbi.nlm.nih.gov/pubmed/30635290
http://dx.doi.org/10.1183/13993003.00986-2018

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