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SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer.

Computers in biology and medicine - 1 May 2024

Ma Yulan, Guo Yuzhu, Cui Weigang, Liu Jingyu, Li Yang, Wang Yingsen, Qiang Yan

Abstract excerpt

Accurately identifying the Kirsten rat sarcoma virus (KRAS) gene mutation status in colorectal cancer (CRC) patients can assist doctors in deciding whether to use specific targeted drugs for treatment. Although deep learning methods are popular, they are often affected by redundant features from non-lesion areas. Moreover, existing methods commonly extract spatial features from imaging data, which neglect...

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Identifiers

PMID: 38574528
DOI: 10.1016/j.compbiomed.2024.108293

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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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