Identification of Atypical Scoliosis Patterns Using X-ray Images Based on Fine-Grained Techniques in Deep Learning.
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| Title: | Identification of Atypical Scoliosis Patterns Using X-ray Images Based on Fine-Grained Techniques in Deep Learning. |
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| Authors: | Chen Y; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., He Z; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., Yang KG; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China.; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Qin X; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., Lau AY; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China.; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Liu Z; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., Lu N; National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China., Cheng JC; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China.; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Lee WY; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China.; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Chui EC; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China.; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Qiu Y; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., Liu X; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong., Chen X; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China., Zhu Z; Division of Spine Surgery, Department of Orthopedic Surgery, Affiliated Hospital of Medical School, Nanjing University, Nanjing Drum Tower Hospital, Nanjing, China.; Joint Scoliosis Research Center of The Chinese University of Hong Kong and Nanjing University, Nanjing, China. |
| Source: | Global spine journal [Global Spine J] 2026 Jan; Vol. 16 (1), pp. 501-512. Date of Electronic Publication: 2025 Jun 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 101596156 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2192-5682 (Print) Linking ISSN: 21925682 NLM ISO Abbreviation: Global Spine J Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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