Supervised Learning for Segmenting Open Boundaries in Medical Images.
Karim AmerAthira JacobGareth Funka-LeaNoha El-ZehiryPublished in: ISBI (2020)
Keyphrases
- medical images
- supervised learning
- anatomical structures
- medical image analysis
- medical imaging
- image intensity
- mr images
- deformable models
- medical image segmentation
- magnetic resonance
- imaging modalities
- magnetic resonance imaging
- computer aided diagnosis
- training data
- computed tomography
- magnetic resonance images
- region of interest
- medical diagnosis
- medical data
- biomedical images
- ct images
- soft tissue
- learning algorithm
- segmentation of medical images
- x ray images
- active learning
- image segmentation
- machine learning
- learning tasks
- semi supervised
- clinical practice
- medical image retrieval
- medical databases
- object boundaries
- brain images
- multi modality
- image processing
- clinical applications
- volumetric data
- morphological image analysis