基于人工智能技术的头颅自动地标识别研究进展

2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2021-11-11 DOI:10.1109/I-SMAC52330.2021.9641011

Neeraja R, L. Anbarasi

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引用次数: 0

摘要

准确识别侧位头颅图的标志在头颅测量分析中起着重要的作用。头测术可以帮助正畸医生、牙医和颌面外科医生发现解剖异常，从而提供最佳的治疗计划。由于手工标记过程容易产生测量误差且耗时，IEEE在2014年和2015年国际生物医学成像研讨会(ISBI)上组织了一项重大挑战，即自动检测头颅x线片中的地标。本文综述和比较了各种人工智能技术在自动识别x射线图像中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Review on Automatic Cephalometric Landmark Identification Using Artificial Intelligence Techniques

Accurate identification of landmarks from lateral cephalograms plays an important role in cephalometric analysis. Cephalometrics helps orthodontists, dentists, and maxillofacial surgeons to figure out the anatomical abnormalities and thereby provides optimal treatment planning. As the manual marking procedures are measurement error prone and consumes time, a grand challenge is organized by IEEE to automate the detection of landmarks from cephalometric radiographs in the International Symposium on Biomedical Imaging (ISBI) 2014 and 2015. This paper presents a review and comparison for various Artificial Intelligence Techniques proposed to automate cephalometric landmark identification from x-ray images.

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2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

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