Article

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

2020-05-21

Abstract excerpt

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 imaging has shown its high performance in diagnosis, classification, and prediction in recent years. In this paper,...

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Literature Corpus work: a5acd073-ea38-5df9-a194-a59f8a58fdcc
DOI: 10.21203/rs.3.rs-29491/v1

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