Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images.
Artur KlepaczkoEli EikefjordArvid LundervoldPublished in: ICCS (3) (2021)
Keyphrases
- mr images
- medical images
- magnetic resonance
- accurate segmentation
- brain mr images
- brain tumors
- mr brain
- intensity inhomogeneity
- partial volume
- brain structures
- mr imaging
- intensity distribution
- bias field
- segmentation result
- mri data
- convolutional neural networks
- magnetic resonance images
- image data
- image segmentation
- cardiac magnetic resonance
- phantom images
- quantitative measurements
- manual segmentation
- nonrigid registration
- prostate cancer
- inter patient
- region growing
- contrast enhanced
- mr brain images
- dice similarity coefficient
- image intensity
- automatic segmentation
- inhomogeneity correction
- fully automatic
- medical imaging
- model based segmentation
- histological images
- tissue segmentation
- brain segmentation
- medical image analysis
- prostate segmentation