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Congress: ECR25
Poster Number: C-15858
Type: Poster: EPOS Radiologist (scientific)
Authorblock: S. Park, J. Park, M. I. Kim, M. Kim, J. Song, S. J. Bae, N. Kim; Seoul/KR
Disclosures:
Saerom Park: Employee: Promedius Inc.
Junhyeok Park: Employee: Promedius Inc.
Minje Ian Kim: Employee: Promedius Inc.
Minjee Kim: Employee: Promedius Inc.
Jeongmin Song: Employee: Promedius Inc.
Sung Jin Bae: Nothing to disclose
Namkug Kim: Shareholder: Promedius Inc.
Keywords: Artificial Intelligence, Computer applications, Musculoskeletal bone, Conventional radiography, Computer Applications-Detection, diagnosis, Screening, Osteoporosis
References
  1. MAI, Ha T., et al. Two-thirds of all fractures are not attributable to osteoporosis and advancing age: implications for fracture prevention. The Journal of Clinical Endocrinology & Metabolism, 2019, 104.8: 3514-3520.
  2. Fan Y, Li Q, Liu Y, et al. Sex- and Age-Specific Prevalence of Osteopenia and Osteoporosis: Sampling Survey. JMIR Public Health Surveill. 2024;10:e48947. Published 2024 Apr 5. doi:10.2196/48947
  3. Zhao, Qihao, et al. "MDCS: More diverse experts with consistency self-distillation for long-tailed recognition." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
  4. Jiarui Cai, Yizhou Wang, and Jenq-Neng Hwang. Ace: Ally complementary experts for solving long-tailed recognition in one-shot. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 112–121, 2021.
  5. ZHANG, Linfeng; BAO, Chenglong; MA, Kaisheng. Self-distillation: Towards efficient and compact neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 44.8: 4388-4403.
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