用于追踪、配准、标注和验证光学组织测量的点投影映射系统
Point Projection Mapping System for Tracking, Registering, Labeling and Validating Optical Tissue Measurements
AI总结：
本文提出Point Projection Mapping系统及配套框架，通过无损追踪组织测量位置并与组织病理学结果精确配准，实现了光学组织传感技术的快速准确验证与数据标注。
摘要：
验证新开发的光学组织传感技术以在癌症手术中检测肿瘤，需要与组织学结果进行精确关联。此外，这种精确关联有助于为开发高性能机器学习组织分类模型进行精确的数据标注。本文将介绍一种新开发的Point Projection Mapping系统，该系统允许对组织样本上的测量位置进行无损追踪。此外，还提出了一个用于与组织病理学结果进行精确配准、验证和标注的框架，并在案例研究中进行了验证。与现有常规技术相比，所提出的框架为追踪和验证光学组织传感技术提供了一种更稳健、更准确的方法，从而节省了时间和资源。
英文摘要：
Validation of newly developed optical tissue sensing techniques for tumor detection during cancer surgery requires an accurate correlation with histological results. Additionally, such accurate correlation facilitates precise data labeling for developing high-performance machine-learning tissue classification models. In this paper, a newly developed Point Projection Mapping system will be introduced, which allows non-destructive tracking of the measurement locations on tissue specimens. Additionally, a framework for accurate registration, validation, and labeling with histopathology results is proposed and validated on a case study. The proposed framework provides a more robust and accurate method for tracking and validation of optical tissue sensing techniques, which saves time and resources compared to conventional techniques available.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
