Corrigendum: Deep Learning-Enabled Clinically Applicable CT Planbox for Stroke With High Accuracy and Repeatability

Front Neurol. 2022 May 9:13:921992. doi: 10.3389/fneur.2022.921992. eCollection 2022.

¹ Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
² State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China.
³ Department of Radiology, The Affiliated Hospital of Nantong University, Nantong, China.
⁴ Department of Endocrinology, Tongren Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
⁵ Department of Neurology, Drum Tower Hospital, Medical School and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing, China.
⁶ Research & Advanced Algorithm Department of HSW BU, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
⁷ Medical School of Nanjing University, Nanjing, China.
⁸ Calibration Physical Algorithm Department of CT BU, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
⁹ Clinical Workflow and Clinical Verification Department of CT BU, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
¹⁰ Department of CT BU, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
¹¹ Department of Radiology, The Second Affiliated Hospital of Nantong University, Nantong, China.

Abstract

[This corrects the article DOI: 10.3389/fneur.2022.755492.].

Keywords: accurate and repeatable images; automatic cranial scanning; computed tomography; deep learning; stroke.