A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images
Work
Year: 2021
Type: article
Abstract: Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma and absorbed dose calculation. However, liver segmentation is a challenging task due to the anatomic... more
Institutions Shenyang Aerospace University, Northeastern University
Cites: 40
Cited by: 12
Related to: 10
FWCI: 1.088
Citation percentile (by year/subfield): 80.58
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: green
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China
Grant IDS 61402298, 61971118, 61373088