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©The Author(s) 2021.
World J Gastroenterol. Nov 28, 2021; 27(44): 7687-7704
Published online Nov 28, 2021. doi: 10.3748/wjg.v27.i44.7687
Published online Nov 28, 2021. doi: 10.3748/wjg.v27.i44.7687
Figure 9 Mutation prediction of KRAS, PIK3CA, and TP53 genes for the The Cancer Genome Atlas gastric cancer tissue slides by the classifiers trained with The Cancer Genome Atlas colorectal cancer tissues.
Receiver operating characteristic curves of the classification results for each gene were presented.
- Citation: Jang HJ, Lee A, Kang J, Song IH, Lee SH. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach. World J Gastroenterol 2021; 27(44): 7687-7704
- URL: https://www.wjgnet.com/1007-9327/full/v27/i44/7687.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i44.7687