Deep learning radiomic analysis in the prediction of MYCN status and survival outcome in children with neuroblastoma

Figure 2 Feature heatmaps of representative histological patterns in bladder cancer on the deep learning ResNet50 algorithm via the Guided Grad-Class activation mapping. A and B: The original computed tomography images and their corresponding feature heatmaps were shown in left and right sides, respectively. The red color highlighted the region of interest to classify MYCN amplification. Different subregions were recognized and highlighted in different MYCN statuses, including amplified MYCN status (A) and non-amplified MYCN status (B).