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On Edge Computing for Remote Pathology Consultations and Computations.
IEEE Journal of Biomedical and Health Informatics ( IF 7.7 ) Pub Date : 2020-07-07 , DOI: 10.1109/jbhi.2020.3007661
Alessio Sacco , Flavio Esposito , Guido Marchetto , Grant Kolar , Kate Schwetye

Telepathology aims to replace the pathology operations performed on-site, but current systems are limited by their prohibitive cost, or by the adopted underlying technologies. In this work, we contribute to overcoming these limitations by bringing the recent advances of edge computing to reduce latency and increase local computation abilities to the pathology ecosystem. In particular, this paper presents LiveMicro, a system whose benefit is twofold: on one hand, it enables edge computing driven digital pathology computations, such as data-driven image processing on a live capture of the microscope. On the other hand, our system allows remote pathologists to diagnosis in collaboration in a single virtual microscope session, facilitating continuous medical education and remote consultation, crucial for under-served and remote hospital or private practice. Our results show the benefits and the principles underpinning our solution, with particular emphasis on how the pathologists interact with our application. Additionally, we developed simple yet effective diagnosis-aided algorithms to demonstrate the practicality of our approach.

中文翻译:

用于远程病理咨询和计算的边缘计算。

远程病理学旨在取代现场进行的病理学操作,但当前系统受到其过高成本或所采用的底层技术的限制。在这项工作中,我们通过将边缘计算的最新进展引入病理学生态系统来减少延迟并提高本地计算能力,从而有助于克服这些限制。特别是,本文介绍了 LiveMicro,这是一个具有双重优势的系统:一方面,它支持边缘计算驱动的数字病理计算,例如对显微镜实时捕获的数据驱动图像处理。另一方面,我们的系统允许远程病理学家在单个虚拟显微镜会话中进行协作诊断,促进持续的医学教育和远程咨询,对服务不足和偏远的医院或私人诊所至关重要。我们的结果显示了支持我们解决方案的好处和原则,特别强调病理学家如何与我们的应用程序交互。此外,我们开发了简单而有效的诊断辅助算法来证明我们方法的实用性。
更新日期:2020-09-05
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