Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
Michael RobertsDerek DriggsMatthew ThorpeJulian D. GilbeyMichael YeungStephan UrsprungAngelica I. Avilés-RiveroChristian EtmannCathal McCagueLucian BeerJonathan R. Weir-McCallZhongzhao TengJames H. F. RuddEvis SalaCarola-Bibiane SchönliebPublished in: CoRR (2020)
Keyphrases
- chest radiographs
- ct scans
- x ray
- machine learning
- computer aided detection
- lung nodules
- x ray images
- computer tomography
- ct images
- computed tomography
- computer aided diagnosis
- three dimensional
- fracture detection
- medical imaging
- pattern recognition
- active shape model
- abdominal organs
- computer aided
- medical images
- decision trees
- computer vision
- region of interest
- pulmonary nodules
- logistic regression
- feature selection