Multi-scale learning frameworks have been regarded as a capable class of models to boost semantic segmentation. The problem nevertheless is not trivia...

Correlated shape features involving nearby objects often contain important anatomic information. However, it is difficult to capture shape information...

Training deep networks for semantic segmentation requires large amounts of labeled training data, which presents a major challenge in practice, as lab...

Recently, there has been an increasing concern about the privacy issue raised by identifiable information in machine learning. However, previous portr...

Multimodal medical images have been widely applied in various clinical diagnoses and treatments. Due to the practical restrictions, certain modalities...