COVID-19 detection based on self-supervised transfer learning using chest X-ray images.
Guang LiRen TogoTakahiro OgawaMiki HaseyamaPublished in: International journal of computer assisted radiology and surgery (2022)
Our method shows that the knowledge learned from natural images using transfer learning is beneficial for SSL of the CXR images and boosts the performance of representation learning for COVID-19 detection. Our method promises to reduce the incidence of infections among radiologists and healthcare providers.
Keyphrases
- healthcare
- deep learning
- coronavirus disease
- convolutional neural network
- sars cov
- optical coherence tomography
- loop mediated isothermal amplification
- artificial intelligence
- machine learning
- real time pcr
- label free
- risk factors
- computed tomography
- magnetic resonance imaging
- magnetic resonance
- respiratory syndrome coronavirus
- dual energy
- electron transfer