Cargando…

Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images

The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare systems and personal wellbeing all around the world. Controlling the rapidly evolving disease requires highly sensitive...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Xiaocong, Yao, Lina, Zhou, Tao, Dong, Jinming, Zhang, Yu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833525/ https://www.ncbi.nlm.nih.gov/pubmed/33518813 http://dx.doi.org/10.1016/j.patcog.2021.107826

Ejemplares similares

Few-shot contrastive learning for image classification and its application to insulator identification
por: Li, Liang, et al.
Publicado: (2021)

FewJoint: few-shot learning for joint dialogue understanding
por: Hou, Yutai, et al.
Publicado: (2022)

Insights into few shot learning approaches for image scene classification
por: Soudy, Mohamed, et al.
Publicado: (2021)

Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning
por: Wang, Sihan, et al.
Publicado: (2020)

Learning few-shot imitation as cultural transmission
por: Bhoopchand, Avishkar, et al.
Publicado: (2023)

Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
por: Matindife, L., et al.
Publicado: (2022)

A few-shot approach for COVID-19 screening in standard and portable chest X-ray images
por: Cores, Daniel, et al.
Publicado: (2022)

COVID-19 diagnosis utilizing wavelet-based contrastive learning with chest CT images
por: Wu, Yanfu, et al.
Publicado: (2023)

FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography
por: Gao, Shan, et al.
Publicado: (2022)

A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images
por: Voulodimos, Athanasios, et al.
Publicado: (2021)

Few-shot learning: temporal scaling in behavioral and dopaminergic learning
por: Burke, Dennis A, et al.
Publicado: (2023)

Few-Shot Fine-Grained Image Classification via GNN
por: Zhou, Xiangyu, et al.
Publicado: (2022)

High-Dimensional Separability for One- and Few-Shot Learning
por: Gorban, Alexander N., et al.
Publicado: (2021)

Meta-Learning for Few-Shot Plant Disease Detection
por: Chen, Liangzhe, et al.
Publicado: (2021)

Optimizing Few-Shot Learning Based on Variational Autoencoders
por: Wei, Ruoqi, et al.
Publicado: (2021)

Epilepsy seizure prediction with few-shot learning method
por: Nazari, Jamal, et al.
Publicado: (2022)

2019 Novel Coronavirus-Infected Pneumonia on CT: A Feasibility Study of Few-Shot Learning for Computerized Diagnosis of Emergency Diseases
Publicado: (2020)

Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning
por: Teng, Long, et al.
Publicado: (2020)

Few-shot biomedical named entity recognition via knowledge-guided instance generation and prompt contrastive learning
por: Chen, Peng, et al.
Publicado: (2023)

Few-shot learning for joint model in underwater acoustic target recognition
por: Tian, Shengzhao, et al.
Publicado: (2023)

Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning
por: Yang, Xu, et al.
Publicado: (2022)

Efficient few-shot machine learning for classification of EBSD patterns
por: Kaufmann, Kevin, et al.
Publicado: (2021)

Multiobject Tracking of Wildlife in Videos Using Few-Shot Learning
por: Feng, Jiangfan, et al.
Publicado: (2022)

Neural representational geometry underlies few-shot concept learning
por: Sorscher, Ben, et al.
Publicado: (2022)

Few-Shot Learning for Plant-Disease Recognition in the Frequency Domain
por: Lin, Hong, et al.
Publicado: (2022)

Few-Shot Learning for WiFi Fingerprinting Indoor Positioning
por: Ma, Zhenjie, et al.
Publicado: (2023)

Weakly Correlated Knowledge Integration for Few-shot Image Classification
por: Yang, Chun, et al.
Publicado: (2022)

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint
por: Dong, Fang, et al.
Publicado: (2020)

Few-Shot Emergency Siren Detection
por: Cantarini, Michela, et al.
Publicado: (2022)

Cross-domain few-shot learning based on pseudo-Siamese neural network
por: Gong, Yuxuan, et al.
Publicado: (2023)

Automated classification of polyps using deep learning architectures and few-shot learning
por: Krenzer, Adrian, et al.
Publicado: (2023)

Financial Data Center Configuration Management System Based on Random Forest Algorithm and Few-Shot Learning
por: Li, Xinxin, et al.
Publicado: (2022)

Unsupervised Few-Shot Feature Learning via Self-Supervised Training
por: Ji, Zilong, et al.
Publicado: (2020)

Word Embedding Distribution Propagation Graph Network for Few-Shot Learning
por: Zhu, Chaoran, et al.
Publicado: (2022)

Semi-supervised few-shot learning approach for plant diseases recognition
por: Li, Yang, et al.
Publicado: (2021)

Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning
por: Yang, Shuangming, et al.
Publicado: (2022)

Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks
por: Qu, Dixin
Publicado: (2022)

Few-shot short utterance speaker verification using meta-learning
por: Wang, Weijie, et al.
Publicado: (2023)

MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning
por: Guan, Lei, et al.
Publicado: (2023)

Automatic pavement texture recognition using lightweight few-shot learning
por: Pan, Shuo, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_01qpdraslst8a8deeudvvnp9s2