Due to the complexity of annotation and inter-annotator variability, mos...
Deep learning-based medical image segmentation models suffer from perfor...
Manual medical image segmentation is subjective and suffers from
annotat...
Modeling noise transition matrix is a kind of promising method for learn...
The domain discrepancy existed between medical images acquired in differ...
Automated abdominal multi-organ segmentation is a crucial yet challengin...
Kidney structures segmentation is a crucial yet challenging task in the
...
Carotid vessel wall segmentation is a crucial yet challenging task in th...
Manual annotation of medical images is highly subjective, leading to
ine...
The domain gap caused mainly by variable medical image quality renders a...
Lung nodule malignancy prediction is an essential step in the early diag...
It has been widely recognized that the success of deep learning in image...