Fig. 6
From: RareNet: a deep learning model for rare cancer diagnosis
Receiver Operating Characteristic (ROC) curves for RareNet across all rare cancer types and healthy class. The area under the curve (AUC) values demonstrate the model’s ability to distinguish each rare cancer type from the rest, with higher values indicating stronger classification performance. The legend includes six classes: Healthy, Wilms Tumor (WT), Clear Cell Sarcoma of the Kidney (CCSK), Neuroblastoma (NB), Acute Myeloid Leukemia (AML), and Osteosarcoma (OST).
