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Machine learning-based gray-level co-occurrence matrix signature for predicting lymph node metastasis in undifferentiated-type early gastric cancer
BACKGROUND: The most important consideration in determining treatment strategies for undifferentiated early gastric cancer (UEGC) is the risk of lymph node metastasis (LNM). Therefore, identifying a potential biomarker that predicts LNM is quite useful in determining treatment. AIM: To develop a mac...
Autores principales: | Wei, Xin, Yan, Xue-Jiao, Guo, Yu-Yan, Zhang, Jie, Wang, Guo-Rong, Fayyaz, Arsalan, Yu, Jiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521518/ https://www.ncbi.nlm.nih.gov/pubmed/36185632 http://dx.doi.org/10.3748/wjg.v28.i36.5338 |
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