Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning.
Luís Fabrício de F. SouzaGabriel Bandeira HolandaFrancisco Hércules dos S. SilvaShara Shami Araújo AlvesPedro Pedrosa Rebouças FilhoPublished in: Int. J. Hybrid Intell. Syst. (2020)
Keyphrases
- transfer learning
- ct images
- machine learning
- medical images
- labeled data
- pet ct
- lung parenchyma
- medical imaging
- feature extraction
- computed tomography
- lung nodules
- learning tasks
- ground glass opacity
- ct scans
- semi supervised learning
- active learning
- fully automatic
- knowledge transfer
- machine learning algorithms
- cross domain
- image processing
- unlabeled data
- text classification
- reinforcement learning
- learning algorithm
- semi supervised
- image segmentation
- segmentation algorithm
- region of interest
- segmentation method
- collaborative filtering
- multiscale
- text mining
- labeled training data
- feature selection
- level set
- lung disease
- pattern recognition
- semi automatic
- image analysis
- text categorization
- x ray
- prior knowledge
- feature vectors
- pulmonary nodules
- principal component analysis
- face recognition
- data points
- bounding box
- feature space
- data sets
- lung cancer
- computer vision
- image registration