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The proposed patient detection and skin segmentation network has two output streams. The patient detection stream performs global average pooling over feature maps to predict the presence of the patient in the scene. The skin segmentation stream performs hierarchical upsampling of feature maps across the shared core network to produce a skin label. The network was designed to evaluate the skin segmentation stream only if the infant was present in the scene.
