most citedVertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images

2 citations · 3 across the 2 of their papers we have counts for

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eess.IV2023★ 1 cited

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray

Yao Chen, Yuanhan Mo, Aimee Readie +5

Reliable vertebrae annotations are key to perform analysis of spinal X-ray images. However, obtaining annotation of vertebrae from those images is usually carried out manually due…

eess.IV2022★ 2 cited

VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images

Yao Chen, Yuanhan Mo, Aimee Readie +3

Manual annotation of vertebrae on spinal X-ray imaging is costly and time-consuming due to bone shape complexity and image quality variations. In this study, we address this challe…