Skip to main navigation
Skip to search
Skip to main content
National Yang Ming Chiao Tung University Academic Hub Home
English
中文
Home
Profiles
Research units
Research output
Projects
Prizes
Activities
Equipment
Impacts
Search by expertise, name or affiliation
Cascaded atrous dual attention U-Net for tumor segmentation
Yu Cheng Liu
, Mohammad Shahid
, Wannaporn Sarapugdi
, Yong Xiang Lin
,
Jyh Cheng Chen
*
, Kai Lung Hua
*
Corresponding author for this work
Department of Biomedical Imaging and Radiological Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
23
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Cascaded atrous dual attention U-Net for tumor segmentation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
U-Net
100%
Tumor Segmentation
100%
Dual Attention
100%
Atrous
100%
Deep Convolution Network
60%
Tumor
40%
Encoder
40%
Contextual Information
40%
Multi-slice
40%
Incompetence
20%
Network Structure
20%
Imaging Sequences
20%
Treatment Planning
20%
Promising Solutions
20%
Segmentation Method
20%
Concatenated
20%
Interconnecting Layer
20%
Discriminative Features
20%
Medical Image Segmentation
20%
Biomedical Research
20%
Segmentation Accuracy
20%
Automatic Segmentation
20%
Pixel Intensity
20%
Biomedical Imaging
20%
Computed Tomography
20%
Medical Imaging
20%
Execution Cost
20%
Segmentation Model
20%
GPU Memory
20%
Different Datasets
20%
Pancreatic Tumor
20%
Wide Context
20%
Liver-pancreas
20%
Context Features
20%
Skip Connection
20%
Liver Tumor Segmentation
20%
Segmentation Network
20%
Attention Gate
20%
Volumetric Information
20%
Kidney Tumor Segmentation
20%
3D Liver Segmentation
20%
2D Segmentation
20%
Human Anatomy
20%
Computer Science
U-Net
100%
Tumor Segmentation
100%
Experimental Result
14%
Context Information
14%
Image Segmentation
14%
Considerable Amount
14%
Segmentation Method
14%
Discriminative Feature
14%
Contextual Information
14%
segmentation accuracy
14%
Pixel Intensity
14%
Automatic Segmentation
14%
Segmentation Model
14%
Network Segmentation
14%
Medical Imaging
14%
Liver Segmentation
14%
Graphics Processing Unit
14%
Network Structure
14%