锥束ct
分割
计算机断层摄影术
人工智能
工业计算机断层扫描
空格（标点符号）
计算机科学
计算机视觉
材料科学
医学
放射科
操作系统
作者
Abdulmohsen Alfadley,Sohaib Shujaat,Ahmed Jamleh,Marryam Riaz,Ali Aboalela,Hongyang Ma,Kaan Orhan
标识
DOI：10.1016/j.joen.2024.05.012
摘要
Automated segmentation of 3-dimensional pulp space on cone-beam computed tomography images presents a significant opportunity for enhancing diagnosis, treatment planning, and clinical education in endodontics. The aim of this systematic review was to investigate the performance of artificial intelligence-driven automated pulp space segmentation on cone-beam computed tomography images.
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