Assessment of Machine Learning Algorithms for the Purpose of Primary Sjögren's Syndrome Grade Classification from Segmented Ultrasonography Images.
Arso M. VukicevicAlen ZabottiSalvatore de VitaNenad FilipovicPublished in: FABULOUS (2017)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning methods
- machine learning
- decision trees
- learning algorithm
- image classification
- predictive accuracy
- machine learning approaches
- learning problems
- random forests
- input features
- input image
- machine learning models
- image features
- image retrieval
- segmented images
- multiclass classification
- edge detection
- supervised learning algorithms
- machine learning systems
- feature extraction
- data sets
- automatically segmented
- learning models
- learning tasks
- classification algorithm
- classification accuracy
- transfer learning
- infrared images
- segmentation method
- segmentation algorithm
- feature space