Work

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation

Year: 2021

Type: article

Source: Biomedical Signal Processing and Control

DOI: 10.1016/j.bspc.2021.103442

Authors: Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang

Institutions: Shenzhen University, University of Macau, Shenzhen Second People's Hospital

Language: English

Topic: Brain Tumor Detection and Classification

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Natural Science Foundation of Shenzhen City, National Natural Science Foundation of China, Department of Education of Guangdong Province, Science, Technology and Innovation Commission of Shenzhen Municipality, Shenzhen Fundamental Research Program

Awards: G1755867070, G2325590359, G2588485453, G2793562968, 影像基因的深度学习应用于阿尔茨海默病诊断和预测的多时间点研究, G6990224084, G7596383720, G7688162605, G8249450494

OpenAlex ID: W4200558263

FWCI: 2.224

Cites: 54

Cited by: 38

Related to: 10