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Journal: JHEP Reports
Article Title: Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology
doi: 10.1016/j.jhepr.2025.101675
Figure Lengend Snippet: Flowchart of the study. CV, cross validation; FFPE, formalin-fixed paraffin-embedded; HES, hematein eosin saffron, HES; ROI, region of interest; slide B RNA+, slide from biopsy sample corresponding to the sample used for the transcriptomic analysis; slide S RNA+, slide from surgical sample corresponding to the sample used for the transcriptomic analysis; slide S RNA-, slide from surgical sample, not corresponding to the sample used for the transcriptomic analysis; SSL, self-supervised learning; TCGA, The Cancer Genome Atlas.
Article Snippet: Total RNAs were further isolated by using the Qiagen
Techniques: Biomarker Discovery, Formalin-fixed Paraffin-Embedded