ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist

European Spine Journal

Volumn 26, Issue 5, 2017, Pages 1374-1383

  Jamaludin, Amir ^a   Lootus, Meelis ^a   Kadir, Timor ^b   Zisserman, Andrew ^a   Urban, Jill ^d   Battié, Michele C ^f   Fairbank, Jeremy ^d,e,g   McCall, Iain ^c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Mirada Medical Ltd   (United Kingdom)

^c ROBERT JONES AND AGNES HUNT ORTHOPAEDIC HOSPITAL   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e NUFFIELD ORTHOPAEDIC CENTRE   (United Kingdom)

^f UNIVERSITY OF ALBERTA   (Canada)

^g St Lukes Hospital   (United Kingdom)

Author keywords

Automated grading; Deep learning; Disc analysis; Disc bulge; Disc classification; Disc detection; Disc herniation; Modic changes; Pfirrmann grading; Spondylolisthesis; Vertebrae analysis

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CLINICAL FEATURE; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTERVERTEBRAL DISK; LOW BACK PAIN; LUMBAR SPINE; MAJOR CLINICAL STUDY; MEDICAL EXPERT; MOTOR END PLATE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SPINE RADIOGRAPHY; SPONDYLOLISTHESIS; VERTEBRA BODY; VERTEBRAL CANAL STENOSIS; BONE MARROW; DIAGNOSTIC IMAGING; INTERVERTEBRAL DISK DEGENERATION; LUMBAR VERTEBRA; MALE; MIDDLE AGED; RADIOLOGIST;

BONE MARROW; HUMANS; INTERVERTEBRAL DISC; INTERVERTEBRAL DISC DEGENERATION; LUMBAR VERTEBRAE; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); RADIOLOGISTS; SPINAL STENOSIS; SPONDYLOLISTHESIS;

EID: 85011660161     PISSN: 09406719     EISSN: 14320932     Source Type: Journal    
DOI: 10.1007/s00586-017-4956-3     Document Type: Article

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