Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach.
Alessio VirzìPietro GoriCécile Olivia MullerEva MilleQ. PeyrotLaureline BertelootNathalie BoddaertSabine SarnackiIsabelle BlochPublished in: DATRA/PIPPI@MICCAI (2018)
Keyphrases
- deep learning
- brain tumor segmentation
- medical images
- brain structures
- carotid artery
- magnetic resonance images
- brain tumors
- medical imaging
- unsupervised feature learning
- ct images
- magnetic resonance angiography
- image segmentation
- unsupervised learning
- anatomical structures
- mr images
- magnetic resonance imaging
- machine learning
- segmentation algorithm
- phase contrast
- computed tomography
- segmentation method
- ct scans
- level set
- object segmentation
- magnetic resonance
- multiscale
- mental models
- weakly supervised
- accurate segmentation
- feature selection
- pairwise
- energy function
- manual segmentation
- deformable models
- blood vessels