Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction
Koichiro Yasaka, Shunichi Uehara, Shimpei Kato, Yusuke Watanabe, Taku Tajima, Hiroyuki Akai, Naoki Yoshioka, Masaaki Akahane, Kuni Ohtomo, Osamu Abe, Shigeru Kiryu
Topics & Concepts
Deep learningStenosisCervical spineArtificial intelligenceRadiologyMedicineNuclear medicineComputer scienceSurgeryMedical Imaging and AnalysisSpinal Fractures and Fixation TechniquesSpine and Intervertebral Disc Pathology