【作者单位】Institute of Medical Technology, Peking University Health Science Center, Beijing, China School of Health Humanities, Peking University, Beijing, China Beijing Key Laboratory of Spinal Disease Research, Engineering Research Center of Bone and Joint Precision Medicine, Department of Orthopedics, Peking University Third Hospital, Beijing, China Department of Orthopedic, People’s Hospital of Tibet Autonomous Region, Lhasa, China Medical College, Tibet University, Lhasa, China Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China Tuberculosis Department, Beijing Geriatric Hospital, Beijing, China Institute of Medical Technology, Peking University Health Science Center, Beijing, China School of Health Humanities, Peking University, Beijing, China Department of Orthopedic, People’s Hospital of Tibet Autonomous Region, Lhasa, China Department of Orthopedic, People’s Hospital of Tibet Autonomous Region, Lhasa, China Institute of Medical Technology, Peking University Health Science Center, Beijing, China Department of Orthopedic, People’s Hospital of Tibet Autonomous Region, Lhasa, China
【年份】2022
【卷号】Vol.13
【ISSN】1664-302X
【关键词】computer-aided diagnosis spinal tuberculosis computed tomography feature fusion deep learning
【摘要】 BackgroundSpinal tuberculosis has the highest incidence in remote plateau areas, particularly in Tibet, China, due to inadequate local healthcare services, which not only facilitates the transmission of TB bacteria but also increases the burden on g...
