… Deep learning has achieved great success in a variety of … Here we provide a brief
review of works of unsupervised domain adaptation on natural images and medical images. …

… 193], satellite imaging [124], etc. Recent advances in deep learning allowed a significant
performance … Some known exceptions include domain adaptation between medical images [7…

… Recent advances in unsupervised domain adaptation (UDA) … Deep learning has drastically
transformed the way in which … causes a problem in medical image analysis. To alleviate the …

… Recent advances in deep learning for medical image … unsupervised domain adaptation in
chest X-ray segmentation,” in International Workshop on Machine Learning in Medical Imaging…

… While the unsupervised domain adaptation (UDA) does not … little discussion devoted to recent
deep learning-based methods… This article provides an overview of recent developments in …

… the practical value of deep learning network. The unsupervised domain adaptation methods
can be categorized into two types: image adaptation and feature adaptation. [Chen et al., …

… Latest advances in automatic segmentation methods, in … end-to-end unsupervised domain
adaptation (UDA) approach for … In medical imaging, UDA has been studied in several fields for …

… unsupervised domain adaptation framework, called Synergistic Image and Feature Adaptation
… and fruitful research field in recent investigations of deep learning. A plentiful of adaptive …

… Advances in whole-slide scanner technology have increased the speed and reliability with
… cancer using architectural and textural image features,” in Biomedical Imaging: From Nano to …

… Unsupervised domain adaptation has attracted growing … applied into lesions transfer of
medical images, due to the diverse … Fusing unsupervised and supervised deep learning for white …