OVS+Tumor:增强VR中肺肿瘤注释的工具，用于机器学习训练和分析

ACM SIGGRAPH 2019 Virtual, Augmented, and Mixed Reality Pub Date : 2019-07-28 DOI:10.1145/3306449.3328825

D. Crichton, H. Kincaid, A. Mahabal, S. Srivastava, S. Lombeyda, G. Djorgovski, C. Patriotis

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引用次数: 3

摘要

OVS+Tumor创建了一个无缝的VR环境，设计用于直观的交互，帮助通过3D ct扫描解析和注释候选肿瘤的复杂任务。通过交互式子集和实时iso-cloud生成，除了领域专家(放射科医生/外科医生)之外，更广泛的用户可以生成可行的机器学习训练数据集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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OVS+Tumor: a tool for enhanced lung tumor annotation in VR for machine learning training and analysis

OVS+Tumor creates a seamless VR environment designed for intuitive interaction aiding in the complex task of parsing through 3D CT-scans and annotating candidate tumors. Through interactive subsetting and on-the-fly iso-cloud generation, a wider range of users beyond just domain experts (radiologists/surgeons) can generate a viable machine-learning training dataset.

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来源期刊

ACM SIGGRAPH 2019 Virtual, Augmented, and Mixed Reality

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