Multi-organ segmentation in abdominal Computed Tomography (CT) images is...
Convolutional neural networks excel in histopathological image
classific...
Pretraining with large-scale 3D volumes has a potential for improving th...
Background and Objective: Existing deep learning platforms for medical i...
The success of Convolutional Neural Networks (CNNs) in 3D medical image
...
Skull stripping is a crucial prerequisite step in the analysis of brain
...
Medical image segmentation plays an irreplaceable role in computer-assis...
Recently, deep learning with Convolutional Neural Networks (CNNs) and
Tr...
Deep neural networks (DNNs) trained on one set of medical images often
e...
Medical image segmentation is important for computer-aided diagnosis. Go...
Automatic and accurate lung nodule detection from 3D Computed Tomography...
Gross Target Volume (GTV) segmentation plays an irreplaceable role in
ra...
Image segmentation is a fundamental topic in image processing and has be...
Deep learning-based semi-supervised learning (SSL) algorithms have led t...