Deep-learning characterization and quantification of COVID-19 pneumonia lesions from chest CT images.
David Bermejo-PeláezRaúl San José EstéparM. Fernández-VelillaCarmelo Palacios MirasGuillermo Gallardo MadueñoM. BenegasMiguel A. Luengo-OrozJ. SellarésM. SánchezGorka BastarrikaGerman R. Peces-BarbaLuis Miguel Seijo MaceirasMaría J. Ledesma-CarbayoPublished in: Medical Imaging: Computer-Aided Diagnosis (2022)
Keyphrases
- deep learning
- ct images
- pulmonary nodules
- computed tomography
- lung nodules
- computer aided detection
- ct scans
- medical images
- unsupervised learning
- computer aided diagnosis
- medical imaging
- pet images
- computer aided
- liver segmentation
- computer tomography
- region of interest
- low dose
- machine learning
- weakly supervised
- imaging modalities
- chest radiographs
- x ray images
- three dimensional
- cad systems
- ct data
- mental models
- x ray
- medical image processing
- image analysis
- traumatic brain injury
- fracture detection