An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images.
Vangelis TzardisEfthyvoulos KyriacouChristos P. LoizouAnastasia ConstantinidouPublished in: AIAI Workshops (2022)
Keyphrases
- segmentation method
- mri images
- brain tumors
- mri brain images
- brain tissue
- automated segmentation
- breast cancer
- automatic segmentation
- lymph nodes
- magnetic resonance images
- segmentation algorithm
- mr images
- region growing
- magnetic resonance
- image segmentation
- brain images
- active contours
- medical images
- deformable registration
- magnetic resonance imaging
- segmentation result
- watershed segmentation
- fully automated
- mri data
- prostate cancer
- manual segmentation
- energy function
- medical image analysis
- imaging modalities
- computer assisted
- intensity information
- cancer diagnosis
- clinical applications
- shape prior
- region of interest
- computer aided
- watershed transform
- image registration
- model based segmentation
- color images