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A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery

机译:用于颅上颌外科的半自动开源图像分割多平台评价综述

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摘要

Background and objectives: Computer-assisted technologies, such as image-based segmentation, play an important role in the diagnosis and treatment support in cranio-maxillofacial surgery. However, although many segmentation software packages exist, their clinical in-house use is often challenging due to constrained technical, human or financial resources. Especially technological solutions or systematic evaluations of open-source based segmentation approaches are lacking. The aim of this contribution is to assess and review the segmentation quality and the potential clinical use of multiple commonly available and license-free segmentation methods on different medical platforms.
机译:背景和目标:计算机辅助技术,如基于图像的分割,在Cranio-颌骨外科手术中的诊断和治疗支持中起重要作用。 然而,尽管存在许多分割软件包,但由于有限的技术,人类或财力资源,他们的临床内部使用通常是挑战。 特别是基于开源的分割方法的技术解决方案或系统评估。 这一贡献的目的是评估和审查分割质量以及在不同医疗平台上的多种常用和许可的分割方法的潜在临床应用。

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