Figure S3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Year: 2023
Type: other
Abstract: Supplemental Figure S3. Sample partitioning for training and testing a RAS pathway mutation predictive model using K-fold cross-validation. Three independent experiments were trained on a random selection of samples for training, validation and testing.
Authors: David Milewski, Hyun Jung, G. Thomas Brown, Yanling Liu, Ben Somerville, Curtis Lisle, Marc Ladanyi, Erin R. Rudzinski, Hyoyoung Choo-Wosoba, Donald A. Barkauskas, Tammy Lo, David Hall, Corinne M. Linardic, Jun S. Wei, Hsien-Chao Chou, Stephen X. Skapek, Rajkumar Venkatramani, Peter K. Bode, Seth M. Steinberg, George Zaki, Igor B. Kuznetsov, Douglas S. Hawkins, Jack F. Shern, Jack Collins, Javed Khan
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4361957019