Semantic segmentation is important in medical image analysis. Inspired b...
Fully convolutional neural networks have made promising progress in join...
Universal lesion detection in computed tomography (CT) images is an impo...
Learning by imitation is one of the most significant abilities of human
...
White Matter Hyperintensities (WMH) are the most common manifestation of...
We propose a Healthcare Graph Convolutional Network (HealGCN) to offer
d...
Segmentation of objects of interest is one of the central tasks in medic...
Deep neural network-based medical image classifications often use "hard"...
We introduce a one-shot segmentation method to alleviate the burden of m...