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Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection
In this study, we present a novel framework that allows a Convolutional Neural Network (CNN) to learn richer anatomical context features during training.
Salient Explanation for Fine-grained Classification
Explaining the prediction of deep models has gained increasing attention to increase its applicability, even spreading it to life-affecting decisions.
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks
The experimental results demonstrate that the regional multi-scale method produces much more class-discriminative and visually pleasing saliency maps.
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