Deep learning has shown great potential in assisting radiologists in rea...
Cell detection is a fundamental task in computational pathology that can...
DETR is the first end-to-end object detector using a transformer
encoder...
Many gradient-based meta-learning methods assume a set of parameters tha...
Meta-learning of shared initialization parameters has shown to be highly...
Regularization and transfer learning are two popular techniques to enhan...