Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth.
Eduardo Jose Mortani Barbosa Jr.Warren B. GefterRochelle YangFlorin C. GhesuSiqi LiuBoris MailhéAwais MansoorSasa GrbicSebastian PiatGuillaume ChabinR. S. VishwanathAbishek BalachandranSebastian VogtValentin ZiebandtSteffen KapplerDorin ComaniciuPublished in: CoRR (2020)
Keyphrases
- x ray
- automated detection
- chest radiographs
- ground truth
- severe acute respiratory syndrome
- x ray images
- automated analysis
- ct scans
- projection images
- medical images
- medical imaging
- lung cancer
- lung nodules
- intraoperative
- three dimensional
- anatomical structures
- digitally reconstructed radiographs
- active shape model
- region of interest
- multiple views
- training set
- high quality
- machine learning