Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images.
Alessandro StefanoAlbert ComelliPublished in: Journal of imaging (2021)
We demonstrated that the proposed customized deep learning model can be applied to rapidly identify, and segment COVID-19 infected regions to subsequently extract useful information for assessing disease severity through radiomics analyses.
Keyphrases
- deep learning
- neural network
- coronavirus disease
- sars cov
- convolutional neural network
- contrast enhanced
- computed tomography
- artificial intelligence
- oxidative stress
- respiratory syndrome coronavirus
- image quality
- lymph node metastasis
- machine learning
- healthcare
- magnetic resonance imaging
- dual energy
- optical coherence tomography
- positron emission tomography
- health information
- squamous cell carcinoma
- bioinformatics analysis
- pet ct