医学图像分析中骨折识别的不同技术

Rinisha Bagaria, S. Wadhwani, A. Wadhwani
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引用次数: 9

摘要

医学成像是一种实践,用于促进身体图像用于医学用途,以查明疾病。有许多不同的技术可用于鉴定不同类型骨骼的骨折。本文回顾了适用于医学图像搜索的主要技术,并汇编了该领域50多个新增技术,其中大部分是去年新增的。该研究使用不同的裂缝识别技术进行图像分割、图像分类、裂缝检测和其他任务。分析了其应用领域:平骨、短骨、长骨、不规则骨、籽骨。总结的最后是对前景研究的方向、测试和开放挑战的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Different Techniques for Identification of a Bone Fracture in Analysis of Medical Image
Medical Imaging is the practice used to promote body images for medical uses to pinpoint diseases. There are many different techniques available for the identification of fractures in different types of bones. This paper reviews the major techniques appropriate to a search of medical image and compiles over 50 additions to the field, most of which came in the last year. This survey uses different fracture identifying techniques for image segmentation, image classification, fracture detection and other assignments. An analysis is contributed to the study on application area: Flat bone, Short bone, Long bone, Irregular bone, Sesamoid bone. A summary of this is ending with a demanding discussion of directions, test and open challenges for prospect research.
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