Abstract: Chest radiography is a critical imaging modality to access thorax diseases. Automated radiograph classification algorithms have enormous potential to support clinical assistant diagnosis.

Abstract: Under ideal environmental conditions, RGB-based deep convolutional neural networks can achieve high performance for salient object detection (SOD). In scenes with cluttered backgrounds and ...