Figure 6 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
<p>Deep learning algorithms can predict event-free and overall survival from H&E histology alone. <b>A,</b> Schematic for training a convolutional neural network for survival. Patients with FN-RMS (<i>n</i> = 264) were partitioned into three groups based on EFS leng...
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Figure 1 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025) -
Figure 2 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025) -
Figure 3 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025) -
Figure 4 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025) -
Figure 5 from Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group
Dahkki: David Milewski (15050643)
Almmustuhtton: (2025)