Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.
Utku OzbulakArnout Van MessemWesley De NevePublished in: MICCAI (2) (2019)
Keyphrases
- learning models
- image segmentation
- learning paradigms
- machine learning
- semi supervised learning
- learning algorithm
- loss function
- learning tasks
- machine learning algorithms
- learning problems
- machine learning models
- classification models
- conditional random fields
- markov random field
- concept classes
- image processing
- segmentation algorithm
- sparse metric learning
- segmentation method
- training examples
- graph cuts
- information extraction
- computer vision
- high dimensional
- bayesian networks
- data sets