2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data.
Jon André OttesenDarvin YiElizabeth TongMichael IvAnna LatyshevaCathrine SaxhaugKari Dolven JacobsenÅslaug HellandKyrre Eeg EmblemDaniel L. RubinAtle BjørnerudGreg ZaharchukEndre GrøvikPublished in: Frontiers Neuroinformatics (2022)
Keyphrases
- mri data
- deep learning
- mri scans
- brain tumors
- mr images
- magnetic resonance images
- fully automatic
- brain tissue
- magnetic resonance imaging
- mri images
- partial volume
- brain mr images
- magnetic resonance
- accurate segmentation
- medical images
- white matter
- unsupervised learning
- brain structures
- machine learning
- dt mri
- dce mri
- synthetic data
- medical imaging
- semi automatic
- breast cancer
- deformable registration
- model based segmentation
- medical image analysis
- weakly supervised
- level set
- brain imaging
- brain images
- segmentation algorithm
- image data
- real world
- data sets
- image processing
- three dimensional
- corpus callosum
- feature extraction
- pattern recognition
- diffusion tensor
- mental models