A turning point few-shot learning for COVID-19 diagnosis
Author:
Funder
Prince Sattam bin Abdulaziz University
Publisher
Elsevier BV
Reference49 articles.
1. FSS-2019-nCov: a deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection;Abdel-Basset;Knowledge-Based Syst.,2021
2. Few-shot learning approach for COVID-19 detection from X-ray images;Abdrakhmanov,2021
3. Few-shot learning based on residual neural networks for X-ray image classification;Abdrakhmanov,2022
4. Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images;Cai;Expert Syst. Appl.,2023
5. Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images;Chen;Pattern Recognit,2021
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