Automatic, deep-learning-based segmentation of the amygdalohippocampectomy resection cavity in MR images.
Dingjie SuDanika L. PauloTyler BallVictoria L. MorganDario J. EnglotBenoit M. DawantPublished in: Medical Imaging: Image-Guided Procedures (2023)
Keyphrases
- mr images
- deep learning
- brain tumors
- accurate segmentation
- medical images
- magnetic resonance
- brain mr images
- partial volume
- lesion segmentation
- magnetic resonance images
- mr brain
- mr imaging
- manual segmentation
- brain structures
- cardiac magnetic resonance
- bias field
- unsupervised learning
- dice similarity coefficient
- fully automatic
- mri data
- machine learning
- tissue segmentation
- intensity inhomogeneity
- nonrigid registration
- short axis
- inhomogeneity correction
- medical imaging
- phantom images
- brain tissue
- mental models
- weakly supervised
- image data
- multiscale
- medical image analysis
- segmentation method
- anatomical structures
- inter patient
- feature selection
- image segmentation
- prostate cancer
- co occurrence
- text classification
- automatic segmentation
- imaging modalities
- deformable models