VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays
Accurate annotation of vertebral bodies is crucial for automating the analysis of spinal X-ray images. However, manual annotation of these structures is a laborious and costly process due to their complex nature, including small sizes and varying shapes. To address this challenge and expedite the an...
| Huvudupphovsmän: | , , , , , , , |
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| Materialtyp: | Journal article |
| Språk: | English |
| Publicerad: |
Springer Nature
2024
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