Deep learning-based imaging model to predict early hematoma enlargement and hospital mortality in spontaneous intracerebral hemorrhage

Figure 2 Feature heatmaps of representative patients on the deep learning ResNet50 algorithm via the guided grad-class activation mapping. The original non-contrast computed tomography images and their corresponding feature heatmaps were shown from left to right. The red color highlighted the region of interest on the hemorrhage and perihematomal edema during the deep learning analysis. Four cases were shown with subregions of hemorrhage and perihematomal edema, respectively. The left two indicated hematoma enlargement cases, while the right two indicated non-hematoma enlargement cases.