Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs.
Nickolas LittlefieldJohannes F. PlateKurt R. WeissInes LohseAvani ChhabraIsmaeel A. SiddiquiZoe MenezesGeorge M. MastorakosSakshi Mehul ThakarMehrnaz AbedianMatthew F. GongLuke A. CarlsonHamidreza MoradiSoheyla AmirianAhmad P. TaftiPublished in: CoRR (2023)
Keyphrases
- learning systems
- image segmentation
- multiscale
- supervised learning
- computer assisted
- learning process
- prior knowledge
- case study
- learning tasks
- background knowledge
- x ray
- incremental learning
- learning algorithm
- deformable models
- energy function
- graph cuts
- online learning
- markov random field
- learning objects
- active learning
- reinforcement learning