Patch-Based Cervical Cancer Segmentation using Distance from Boundary of Tissue.
Kengo ArakiMariyo Rokutan-KurataKazuhiro TeradaAkihiko YoshizawaRyoma BisePublished in: EMBC (2021)
Keyphrases
- cervical cancer
- mr brain
- partial volume
- confocal images
- image analysis
- boundary extraction
- medical images
- region growing
- tissue segmentation
- boundary information
- segmentation algorithm
- shape prior
- segmentation method
- object boundaries
- magnetic resonance images
- brain tumors
- level set
- multiscale
- three dimensional
- segmentation result
- brain structures
- image segmentation
- cell nuclei
- image processing
- label fusion
- signed distance
- optical coherence tomography
- occlusion handling
- segmented regions
- intensity distribution
- image gradient
- texture synthesis
- machine learning
- lymph nodes
- computer aided diagnosis
- ultrasound imaging
- automatic segmentation
- magnetic resonance
- mr images
- pattern recognition
- decision trees
- multi atlas segmentation