计算机科学
分割
情态动词
人工智能
腰椎
腰椎
椎间盘
解剖
材料科学
医学
外科
复合材料
作者
Du Qinhong,Yue He,Bu Wendong,Yukun Du,Huan Yang,Yongming Xi
标识
DOI:10.1088/1361-6560/acef9f
摘要
Despite advancements in medical imaging technology, the diagnosis and positioning of lumbar disc diseases still heavily rely on the expertise and experience of medical professionals. This process is often time-consuming, labor-intensive, and susceptible to subjective factors. Achieving automatic positioning and segmentation of lumbar intervertebral disc (LID) is the first and critical step in intelligent diagnosis of lumbar disc diseases. However, due to the complexity of the vertebral body and the ambiguity of the soft tissue boundaries of the LID, accurate and intelligent segmentation of LIDs remains challenging. The study aims to accurately and intelligently segment and locate LIDs by fully utilizing multi-modal lumbar magnetic resonance Images (MRIs).
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