COVID-19 Diagnostic Classification from Chest X-Ray Scan Images Based on Random Forest and DenseNet.
Hin Kit Eric WongShun YangPublished in: EITCE (2022)
Keyphrases
- x ray
- random forest
- digital x ray images
- tomographic images
- chest radiographs
- dual energy
- three dimensional
- decision trees
- low dose
- x ray images
- transmission electron microscopy
- electron microscopy
- projection images
- image classification
- poor contrast
- medical imaging
- feature set
- intraoperative
- computer tomography
- lung nodules
- fluoroscopic images
- ct scans
- classification accuracy
- ct and mr images
- cancer classification
- object recognition
- image features
- input image
- feature extraction
- machine learning
- feature space
- training samples
- image registration
- ct data
- ensemble classifier
- feature vectors
- cost sensitive
- ct images
- machine learning algorithms
- segmentation algorithm
- active learning