Halcyon -- A Pathology Imaging and Feature analysis and Management System

Autor:	Bremer, Erich, DiPrima, Tammy, Balsamo, Joseph, Almeida, Jonas, Gupta, Rajarsi, Saltz, Joel
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Computer Vision and Pattern Recognition Quantitative Biology - Quantitative Methods
Druh dokumentu:	Working Paper
Popis:	Halcyon is a new pathology imaging analysis and feature management system based on W3C linked-data open standards and is designed to scale to support the needs for the voluminous production of features from deep-learning feature pipelines. Halcyon can support multiple users with a web-based UX with access to all user data over a standards-based web API allowing for integration with other processes and software systems. Identity management and data security is also provided. Comment: 15 pages, 11 figures. arXiv admin note: text overlap with arXiv:2005.06469
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.10612 Zobrazit plný text záznamu View this record from Arxiv