Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Conquering the Cobb Angle: A Deep Learning Algorithm for Automated, Hardware-Invariant Measurement of Cobb Angle on Radiographs in Patients with Scoliosis.

Autor: Suri A; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Tang S; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Kargilis D; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Taratuta E; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Kneeland BJ; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Choi G; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Agarwal A; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Anabaraonye N; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Xu W; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Parente JB; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Terry A; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Kalluri A; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Song K; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa., Rajapakse CS; From the Department of Radiology and Orthopedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa.

Publikováno v: Radiology. Artificial intelligence [Radiol Artif Intell] 2023 Jun 21; Vol. 5 (4), pp. e220158. Date of Electronic Publication: 2023 Jun 21 (Print Publication: 2023).