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A Web/Cloud based Digital Pathology Platform Framework for AI Development and Deployment

Zeynettin Akkus, Bryan Dangott, Aziza Nassar
doi: https://doi.org/10.1101/2022.11.04.514741
Zeynettin Akkus
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL
2Computational Pathology and AI, Mayo Clinic, Jacksonville, FL
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  • For correspondence: akkus.zeynettin@mayo.edu
Bryan Dangott
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL
2Computational Pathology and AI, Mayo Clinic, Jacksonville, FL
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Aziza Nassar
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL
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Abstract

Digitization of glass slides has brought several opportunities with it for computational pathology and artificial intelligence (AI). The application of AI in digital pathology slides shows potential for QA/QC, triaging cases, and assisting pathologists in clinical decision making. We present an extensible and modular web/cloud based digital pathology framework for AI development and deployment. The proposed platform supports collaborative multi-user and multi-device annotation, remote slide access, and remote telepathology or teleconsultation tasks.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted November 04, 2022.
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A Web/Cloud based Digital Pathology Platform Framework for AI Development and Deployment
Zeynettin Akkus, Bryan Dangott, Aziza Nassar
bioRxiv 2022.11.04.514741; doi: https://doi.org/10.1101/2022.11.04.514741
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A Web/Cloud based Digital Pathology Platform Framework for AI Development and Deployment
Zeynettin Akkus, Bryan Dangott, Aziza Nassar
bioRxiv 2022.11.04.514741; doi: https://doi.org/10.1101/2022.11.04.514741

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