Robust, accurate and fast automatic segmentation of the spinal cord

NeuroImage

Volumn 98, Issue , 2014, Pages 528-536

  De Leener, Benjamin ^a   Kadoury, Samuel ^a   Cohen Adad, Julien ^a,b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Automatic; Deformable model; MRI; Propagation; Spinal cord segmentation

Indexed keywords

ACCURACY; ALGORITHM; ANATOMICAL VARIATION; ARTICLE; AUTOMATION; CEREBROSPINAL FLUID; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY ANALYSIS; SPINAL CORD; SPINAL CORD INJURY; SPINE RADIOGRAPHY; VALIDATION PROCESS; ANATOMY AND HISTOLOGY; OBSERVER VARIATION; PATHOLOGY; PROCEDURES;

ALGORITHMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; SPINAL CORD; SPINAL CORD INJURIES;

EID: 84904100146     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.04.051     Document Type: Article

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