A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
2024; Nature Portfolio; Volume: 5; Issue: 9 Linguagem: Inglês
10.1038/s43018-024-00793-2
ISSN2662-1347
AutoresDanh-Tai Hoang, Gal Dinstag, Eldad D. Shulman, Leandro C. Hermida, Doreen S. Ben-Zvi, Efrat Elis, Katherine Caley, Stephen‐John Sammut, Sanju Sinha, Neelam Sinha, Christopher H. Dampier, Chani Stossel, Tejas Patil, Arun Rajan, Wiem Lassoued, Julius Strauss, Shania Bailey, Clint Allen, Jason M. Redman, Tuvik Beker, Peng Jiang, Talia Golan, Scott Wilkinson, Adam G. Sowalsky, Sharon R. Pine, Carlos Caldas, James L. Gulley, Kenneth Aldape, Ranit Aharonov, Eric A. Stone, Eytan Ruppin,
Tópico(s)Cell Image Analysis Techniques
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