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

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

Abstract 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 i...

Full description

Bibliographic Details
Main Authors: Kan He, Xiaoming Liu, Mingyang Li, Xueyan Li, Hualin Yang, Huimao Zhang
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Imaging
Subjects:
Colorectal Neoplasm
Mutation
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12880-020-00457-4

Internet

http://link.springer.com/article/10.1186/s12880-020-00457-4

Similar Items