Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to ...

Over the last few years, with the fast progress of remote sensing technology, the availability of high-resolution satellite images has greatly increased 1. This has led to a growing research interest ...