April 29, 2024, 4:45 a.m. | Deepak Bhatia, Muhammad Abdullah, Anne Querfurth, Mahdi Mantash

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.17083v1 Announce Type: cross
Abstract: This paper investigates the use of deep learning approaches to estimate the femur caput-collum-diaphyseal (CCD) angle from X-ray images. The CCD angle is an important measurement in the diagnosis of hip problems, and correct prediction can help in the planning of surgical procedures. Manual measurement of this angle, on the other hand, can be time-intensive and vulnerable to inter-observer variability. In this paper, we present a deep-learning algorithm that can reliably estimate the femur CCD …

abstract arxiv cs.cv deep learning diagnosis eess.iv images measurement paper planning prediction ray segmentation semantic type x-ray

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