A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images.
Jay J. YooKhashayar NamdarMatthias W. WagnerLiana NobreUri TaboriCynthia HawkinsBirgit B. Ertl-WagnerFarzad KhalvatiPublished in: CoRR (2022)
Keyphrases
- mr images
- weakly supervised
- brain tumor segmentation
- magnetic resonance images
- magnetic resonance
- brain tumors
- medical images
- relation extraction
- object class
- superpixels
- topic models
- semi supervised
- image data
- named entities
- white matter
- structuring elements
- input image
- medical image analysis
- object recognition
- multiple objects
- machine learning
- information extraction
- pairwise
- high quality
- computer vision