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Ontology-Guided Markerless Navigation and Situational Awareness for Endoscopic Surgery

机译:本体导向无价值导航和内窥镜手术的情境意识

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Optical navigation systems help surgeons find their way through the complex anatomy of a patient. However, such systems are accident-sensitive, time-consuming and difficult to use because of their complicated technical requirements such as the setting of optical markers and their intraoperative registration. The BIOPASS project, therefore, provides an innovative localisation system for markerless navigation in endoscopic surgery to support medical decision making. This system comprises several machine learning classifiers to recognise anatomical structures visible in the endoscopic images. To verify the data provided by these classifiers and to alert medical staff about surgical risk situations, we developed a new ontology-based software called OntoSun. Our software improves the precision and the sustainable traceability of the classifiers' results and also provides warning messages that increase situational awareness during surgical interventions.
机译:光学导航系统帮助外科医生通过患者的复杂解剖学找到自己的方式。然而,这种系统是事故敏感,耗时且难以使用的,因为它们具有复杂的技术要求,例如光学标记的设置及其术中登记。因此,生物数据库项目为内窥镜手术中无价值导航提供了一种创新的本地化系统,以支持医疗决策。该系统包括若干机器学习分类器,用于识别在内窥镜图像中可见的解剖结构。为了验证这些分类器提供的数据并提醒医务人员有关外科风险情况,我们开发了一种名为OntoSun的新本体的软件。我们的软件提高了分类器结果的精确度和可持续的可追溯性,并提供了在外科干预期间提高情境感知的警告信息。

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