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Effect of manual image cutout in diagnosis support system of oral mucosal disease based on intraoral image

机译:基于口内图像的人工图像切除在口腔粘膜疾病诊断支持系统中的作用

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摘要

We have developed a diagnosis support system of mucosal disease which is based on intraoral image. However, the system required the user to cut a image around disease from a intraoral image. It becomes serious problem that cutout images are different from those which are cut out by other users. In this paper, we investigate how different cutout images effect diagnosis results. Four dentists cut out images from 200 intraoral images, and correct classification rate is discussed. From the results, classification rate of the brief career dentist is less than the other dentists, and instruction for image cutout is important for accurate diagnosis.
机译:我们已经开发了基于口腔图像的粘膜疾病诊断支持系统。但是,该系统要求用户从口内图像中切出疾病周围的图像。剪切图像不同于其他用户剪切的图像成为一个严重的问题。在本文中,我们研究了不同的切口图像如何影响诊断结果。四位牙医从200张口内图像中切出图像,并讨论了正确的分类率。从结果来看,简短职业牙医的分类率低于其他牙医,图像切除的指导对于准确诊断很重要。

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