Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients
CONCLUSIONS: Our findings suggest that DL model can accurately predict vital status in UM patents just using histopathological images. We found out two subgroups based on histopathological DL features, which may in favor of immunotherapy and chemotherapy. Finally, a well-performing nomogram that combines DL-signature and gene-signature was constructed to give a more straightforward and reliable prognosis for UM patients in treatment and management.PMID:37268878 | DOI:10.1186/s12575-023-00207-0
Source: Biological Procedures Online - Category: Molecular Biology Authors: Qi Wan Xiang Ren Ran Wei Shali Yue Lixiang Wang Hongbo Yin Jing Tang Ming Zhang Ke Ma Ying-Ping Deng Source Type: research
More News: Chemotherapy | Eye Cancers | Genetics | Immunotherapy | Information Technology | Learning | Melanoma | Molecular Biology | Skin Cancer | Study | Universities & Medical Training | Uveal Melanoma