Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
Authors
Keywords
COVID-19 diagnosis, Few-shot learning, Contrastive learning, Chest CT images
Journal
PATTERN RECOGNITION
Volume 113, Issue -, Pages 107826
Publisher
Elsevier BV
Online
2021-01-18
DOI
10.1016/j.patcog.2021.107826
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management
- (2020) Yan Li et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
- (2020) Chaolin Huang et al. LANCET
- Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
- (2020) Adam Bernheim et al. RADIOLOGY
- Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
- (2020) Tao Ai et al. RADIOLOGY
- Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
- (2020) Sana Salehi et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
- (2020) Chunqin Long et al. EUROPEAN JOURNAL OF RADIOLOGY
- Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence
- (2020) Lisheng Wang et al. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
- (2020) Xueyan Mei et al. NATURE MEDICINE
- Face Re-Identification Challenge: Are Face Recognition Models Good Enough?
- (2020) Zhiyi Cheng et al. PATTERN RECOGNITION
- Deep features for person re-identification on metric learning
- (2020) Wanyin Wu et al. PATTERN RECOGNITION
- Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
- (2020) Lin Li et al. RADIOLOGY
- Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
- (2020) Deng-Ping Fan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
- (2020) Zheng Wang et al. PATTERN RECOGNITION
- Topological optimization of the DenseNet with pretrained-weights inheritance and genetic channel selection
- (2020) Zhenyu Fang et al. PATTERN RECOGNITION
- Tackling mode collapse in multi-generator GANs with orthogonal vectors
- (2020) Wei Li et al. PATTERN RECOGNITION
- Deep feature augmentation for occluded image classification
- (2020) Feng Cen et al. PATTERN RECOGNITION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started