Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images.
Romain Deleat-BessonCelia LeWinston ZhangNajla Al TurkestaniLucia H. S. CevidanesJonas BianchiAntonio C. RuellasMarcela Lima GurgelCamila MassaroAron Aliaga Del CastilloMarcos IoshidaMarilia YatabeErika BenavidesHector RiosFabiana SokiGisele NeivaKayvan NajarianJonathan GryakMartin StynerJuan Fernando AristizabalDiego ReyMaria Antonia AlvarezLoris BertReza SoroushmehrJuan PrietoPublished in: ML-CDS@MICCAI (2021)
Keyphrases
- automated segmentation
- multimodal images
- ct scans
- imaging modalities
- clinical applications
- x ray
- multi modality
- ct images
- computed tomography
- medical images
- manual segmentation
- region of interest
- image registration
- segmentation method
- medical imaging
- computer aided diagnosis
- deformation field
- multi modal
- clinical trials
- intraoperative
- ground truth
- low contrast
- statistical shape model
- medical data
- fully automated
- magnetic resonance
- automatic segmentation
- medical image analysis
- feature selection
- computer aided
- pattern recognition
- three dimensional