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A novel method using SOM for recognizing patterns in dental radiographs-a conceptual approach

机译:一种使用SOM识别牙科X线片中图案的新方法-一种概念方法

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摘要

AI techniques have always played a key role in medical science. In this paper, a new technique has been devised to identify the problems in human dentition. The idea is to collect the recorded radiographs and apply various enhancement techniques to identify the defected tooth and further apply feature extraction process to highlight the indefinite areas. Self organizing maps have been conceptualized to identify clusters based on similar patterns in the defective tooth. The idea behind the proposed technique is to reduce the time in identifying the problems or diseases locally. With this technique a clear picture of the infected tooth shall be made available for the diagnostic purpose.
机译:人工智能技术一直在医学领域中发挥着关键作用。在本文中,已经设计出一种新技术来识别人类牙列中的问题。想法是收集记录的射线照片,并应用各种增强技术来识别缺损的牙齿,并进一步应用特征提取过程以突出显示不确定区域。自组织图已被概念化以基于缺陷牙齿中的相似模式识别簇。所提出的技术背后的想法是减少在本地发现问题或疾病的时间。使用该技术,应提供受感染牙齿的清晰图片以用于诊断。

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