An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT
Abstract Recent advancements in automated scoliosis diagnosis using X-ray imaging have focused on detecting spinal curvature through angle measurements, but they often lack systematically standardized clinical terminology schemes. To address these limitations, we propose an end-to-end pipeline that...
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| Main Authors: | Abdullah Shahid, Jeonghoon Kim, Shi Sub Byon, SungHyuk Hong, Inyong Lee, Byoung-Dai Lee |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-01952-w |
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