26 citations · 94 across the 23 of their papers we have counts for
4 papers · 1 filter
CapsNet for Medical Image Segmentation
Minh Tran, Viet-Khoa Vo-Ho, Kyle Quinn +3
Convolutional Neural Networks (CNNs) have been successful in solving tasks in computer vision including medical image segmentation due to their ability to automatically extract fea…
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou, Hoang Ngan Le, Khoa Luu +2
Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative powe…
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le, Trung Le, Kashu Yamazaki +3
Medical image segmentation has played an important role in medical analysis and widely developed for many clinical applications. Deep learning-based approaches have achieved high p…
Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation
Toan Duc Bui, Manh Nguyen, Ngan Le +1
Image synthesis from corrupted contrasts increases the diversity of diagnostic information available for many neurological diseases. Recently the image-to-image translation has exp…