Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Chengxian Yao"'
Publikováno v:
IEEE Access, Vol 11, Pp 65749-65758 (2023)
The detection of the spine is crucial in automating the measurement of the Cobb Angle. While various segmentation models have been employed for vertebrae segmentation in X-ray images, there is a need to enhance segmentation performance. This paper pr
Externí odkaz:
https://doaj.org/article/1a95d7eba4224a8daa57234d11522eb9
Publikováno v:
IEEE Access, Vol 11, Pp 63808-63820 (2023)
To improve the accuracy of feature extraction and description of various scales in traditional Oriented FAST and Rotated BRIEF (ORB) feature matching algorithm, this paper proposes an ORB feature matching algorithm based on multi-scale feature descri
Externí odkaz:
https://doaj.org/article/d8943c112d9a4e0ca3036d5d89df698d
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 3817 (2023)
Traditional manual measurement of Cobb angle is a time-consuming process and leads to different results. To address this issue, this paper proposes a deep learning-based method of locating the vertebral center points. The whole X-ray can be input int
Externí odkaz:
https://doaj.org/article/971d0c65845a4d64a381246a2f5dbb65