Fig. 3
From: RareNet: a deep learning model for rare cancer diagnosis
The confusion matrix presents the classification performance of RareNet across different rare cancer types. The rare cancers (actual classes) include Wilms Tumor (WT) with 2 samples (both correctly identified/classified), Clear Cell Sarcoma of the Kidney (CCSK) with 9 samples (8 correctly classified and 1 misclassified), Osteosarcoma (OST) with 17 samples (15 correctly classified and 2 misclassified), Neuroblastoma (NB) with 24 samples (all correctly identified), Acute Myeloid Leukemia (AML) with 11 samples (all correctly identified), and Healthy (H) with 12 samples (all correctly identified).
