CT image super-resolution reconstruction based on global hybrid attention
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference60 articles.
1. Diagnostic value and key features of computed tomography in coronavirus disease 2019;Li;Emerg. Microbes Infect.,2020
2. Recommendations for implementing lung cancer screening with low-dose computed tomography in Europe;Veronesi;Cancers,2020
3. Deep learning for image super-resolution: A survey;Wang;IEEE Trans. Pattern Anal. Mach. Intell.,2020
4. An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine;Özyurt;Med. Hypotheses,2020
5. A review of the deep learning methods for medical images super resolution problems;Li;IRBM,2021
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