Automatic Pollen Classification and Segmentation Using U-Nets and Synthetic Data.
Mihai BoldeanuMónica González-AlonsoHoria CucuCorneliu BurileanuJosé María Maya-ManzanoJeroen Titus Maria ButersPublished in: IEEE Access (2022)
Keyphrases
- synthetic data
- real image data
- statistical classification
- features extraction
- data sets
- classification accuracy
- classification scheme
- fully automatic
- pattern recognition
- real world
- classification method
- level set
- mri data
- support vector
- classification algorithm
- decision trees
- feature extraction and classification
- image classification
- image analysis
- image segmentation
- segmentation method
- semi automatic
- lung nodules
- class labels
- robust classification
- classification models
- region growing
- decision rules
- feature set
- medical imaging
- pattern classification
- segmentation algorithm
- multi class
- segmentation accuracy
- pixel classification
- support vector machine
- feature vectors
- training data
- feature selection
- machine learning
- neural network