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Article

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

BMC medical imaging - 1 Jun 2020

He Kan, Liu Xiaoming, Li Mingyang, Li Xueyan, Yang Hualin, Zhang Huimao

Abstract excerpt

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, we...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 32487083
DOI: 10.1186/s12880-020-00457-4
PMCID: PMC7268438

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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