Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.
Hykoush AsaturyanBarbara VillariniKaren SaraoJeanne ChowOnur AfacanSila KurugolPublished in: Sensors (2021)
Keyphrases
- dce mri
- contrast enhancement
- mri data
- fully automatic
- contrast agent
- breast mri
- breast cancer
- dynamic contrast enhanced mri
- motion correction
- anatomical structures
- prostate cancer
- image enhancement
- active contour model
- gray level
- curve fitting
- multiscale
- model driven
- magnetic resonance images
- medical images
- magnetic resonance imaging
- semi automatic
- contrast enhanced
- low contrast
- computer aided diagnosis
- data driven
- image segmentation
- data sets
- image registration
- real world
- co occurrence
- image processing
- segmentation algorithm
- synthetic data
- medical image analysis
- white matter
- image analysis
- visual quality
- least squares
- shape model