Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Ricardo Javier Fuentes-FinoSaúl Calderón RamírezEnrique DomínguezEzequiel López-RubioMarco A. Hernandez-VasquezMiguel A. Molina-CabelloPublished in: IWBBIO (2) (2022)
Keyphrases
- similarity measure
- segmentation method
- test images
- deep learning
- binary classification
- probabilistic model
- support vector machine
- image features
- prior knowledge
- multi class
- input image
- target object
- segmentation algorithm
- maximum likelihood
- feature set
- object recognition
- supervised learning
- machine learning methods
- image processing
- pairwise
- decision trees