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Updated: May 1, 2026

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore
06:01

Visualization and Quantification of High-Dimensional Cytometry Data using Cytofast and the Upstream Clustering Methods FlowSOM and Cytosplore

Published on: December 12, 2019

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康普雷普斯2.0:在用于组织病理数据处理的高性能计算集群上实现大规模分布式计算

Suhas Katari Chaluva Kumar1,2, Anindya S Paul1, Haitham Abdelazim1

  • 1Dept. of Medicine - Section of Quantitative Health, University of Florida, Gainesville, FL.

Proceedings of SPIE--the International Society for Optical Engineering
|March 9, 2026
PubMed
概括

通过整合高性能计算来进行全幻灯片图像 (WSI) 大规模分析,ComPRePS 2.0 增强了计算病理学. 这种人工智能驱动的工具显著提高了病研究的可扩展性和安全性.

关键词:
人工智能/ML图像分析分布式计算 分布式计算通过GPU加速的计算.高性能计算 (HPC) 是一种高性能计算.这就是HyperGator.组织病理学分析分析可扩展的人工智能系统

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