Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer - PubMed
Source : https://pubmed.ncbi.nlm.nih.gov/36054320/
Microsatellite instability (MSI) status is an important prognostic marker for various cancers. Furthermore, because immune checkpoint inhibitors are much more effective in tumors with high level of MSI (MSI-H), MSI status is routinely tested in multiple cancer types. Therefore, many studies have tes ...
Conclusion: These results indicate that DL could automatically learn the optimal features for discrimination of MSI status in GC tissue slides. This study demonstrated the potential of a DL-based MSI classifier as a screening tool for definitive cases.