Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features
生成对抗网络能够根据病理学、基因组学和放射学潜在特征准确地重建泛癌组织学特征。
期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.adq0856
Howard, Frederick M; Hieromnimon, Hanna M; Ramesh, Siddhi; Dolezal, James; Kochanny, Sara; Zhang, Qianchen; Feiger, Brad; Peterson, Joseph; Fan, Cheng; Perou, Charles M; Vickery, Jasmine; Sullivan, Megan; Cole, Kimberly; Khramtsova, Galina; Pearson, Alexander T