Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies.
Frederic MadestaRüdiger SchmitzThomas RöschRené WernerPublished in: MICCAI (4) (2020)
Keyphrases
- image segmentation
- lessons learned
- key issues
- sampling strategies
- real world
- probabilistic inference
- region growing
- image analysis
- bayesian networks
- markov random field
- image processing
- information retrieval
- sampling strategy
- sampling algorithm
- bayesian inference
- computer vision
- image patches
- gray level
- active contours
- segmentation method
- markov chain monte carlo
- sample size
- sampling methods
- biomedical images