1 citations · 1 across the 3 of their papers we have counts for
4 papers
3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation
Minh Tran, Viet-Khoa Vo-Ho, Ngan T. H. Le
Convolutional Neural Networks (CNNs) have achieved promising results in medical image segmentation. However, CNNs require lots of training data and are incapable of handling pose a…
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications
Viet-Khoa Vo-Ho, Kashu Yamazaki, Hieu Hoang +2
Deep learning methods have been successful in solving tasks in machine learning and have made breakthroughs in many sectors owing to their ability to automatically extract features…
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…
Agent-Environment Network for Temporal Action Proposal Generation
Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki +2
Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos. Most of existing a…