Feb. 15, 2024, 5:42 a.m. | Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang, Hui Zhao

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.08910v1 Announce Type: cross
Abstract: Spinal metastasis is the most common disease in bone metastasis and may cause pain, instability and neurological injuries. Early detection of spinal metastasis is critical for accurate staging and optimal treatment. The diagnosis is usually facilitated with Computed Tomography (CT) scans, which requires considerable efforts from well-trained radiologists. In this paper, we explore a learning-based automatic bone quality classification method for spinal metastasis based on CT images. We simultaneously take the posterolateral spine involvement classification …

abstract arxiv classification cs.cv cs.lg detection diagnosis disease pain quality scans staging treatment type

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