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Laryngeal Lesion Classification Based on Vascular Patterns in Contact Endoscopy and Narrow Band Imaging: Manual Versus Automatic Approach

机译:基于血管图案的喉内膜血管图案血管模式和窄带成像:手动与自动方法

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摘要

Longitudinal and perpendicular changes in the vocal fold’s blood vessels are associated with the development of benign and malignant laryngeal lesions. The combination of Contact Endoscopy (CE) and Narrow Band Imaging (NBI) can provide intraoperative real-time visualization of the vascular changes in the laryngeal mucosa. However, the visual evaluation of vascular patterns in CE-NBI images is challenging and highly depends on the clinicians’ experience. The current study aims to evaluate and compare the performance of a manual and an automatic approach for laryngeal lesion’s classification based on vascular patterns in CE-NBI images. In the manual approach, six observers visually evaluated a series of CE+NBI images that belong to a patient and then classified the patient as benign or malignant. For the automatic classification, an algorithm based on characterizing the level of the vessel’s disorder in combination with four supervised classifiers was used to classify CE-NBI images. The results showed that the manual approach’s subjective evaluation could be reduced by using a computer-based approach. Moreover, the automatic approach showed the potential to work as an assistant system in case of disagreements among clinicians and to reduce the manual approach’s misclassification issue.
机译:声带血管血管的纵向和垂直变化与良性和恶性喉部病变的发育有关。接触内窥镜检查(CE)和窄带成像(NBI)的组合可以提供喉粘膜血管变化的术中实时可视化。然而,CE-NBI图像中的血管模式的视觉评估是挑战性的,高度取决于临床医生的经验。目前的研究旨在评估和比较手册的性能和基于CE-NBI图像中的血管模式的血管模式的自动方法。在手动方法中,六个观察者目视评估一系列属于患者的CE + NBI图像,然后将患者分类为良性或恶性。对于自动分类,基于表征血管疾病水平与四个监督分类器的算法用于分类CE-NBI图像。结果表明,使用基于计算机的方法可以减少手动方法的主观评估。此外,在临床医生中分歧的情况下,自动方法显示潜力作为助理系统,并减少手动方法的错误分类问题。

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