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Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes

Koichiro Yasaka, Tomoya Tanishima, Yuta Ohtake, Taku Tajima, Hiroyuki Akai, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu

2022European Radiology36 citationsDOI

Topics & Concepts

MedicineNeuroradiologyStenosisNuclear medicineSagittal planeCervical spineRadiologySurgeryNeurologyPsychiatryCervical and Thoracic MyelopathySpine and Intervertebral Disc PathologyMedical Imaging and Analysis
Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes | Litcius