Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.
Hongmei WangLu WangEdward H LeeJimmy ZhengWei ZhangSafwan HalabiChunlei LiuKexue DengJiangdian SongKristen W YeomPublished in: European journal of nuclear medicine and molecular imaging (2020)
We uncover specific deep learning and radiomics features to add insight into interpretability of machine learning algorithms and compare deep learning and radiomics models for COVID-19 pneumonia that might serve to augment human diagnostic performance.
Keyphrases
- deep learning
- machine learning
- coronavirus disease
- contrast enhanced
- artificial intelligence
- sars cov
- lymph node metastasis
- convolutional neural network
- endothelial cells
- computed tomography
- magnetic resonance imaging
- big data
- magnetic resonance
- dual energy
- squamous cell carcinoma
- respiratory syndrome coronavirus
- image quality
- pluripotent stem cells
- positron emission tomography
- dna methylation
- respiratory failure