<p>SPE3D: A Distributed and scalable 2D/3D digital pathology platform</p>

Xingyao Chen; Edwin Heredia; Shiva Patre; Jerry S.H. Lee; Naim Matasci; David B Agus

doi:10.7490/f1000research.1119248.1

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Chen X, Heredia E, Patre S et al. SPE3D: A Distributed and scalable 2D/3D digital pathology platform [version 1; not peer reviewed]. F1000Research 2022, 11:1403 (poster) (https://doi.org/10.7490/f1000research.1119248.1)

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SPE3D: A Distributed and scalable 2D/3D digital pathology platform

Xingyao Chen¹, Edwin Heredia¹, Shiva Patre¹, Jerry S.H. Lee, Naim Matasci, David B Agus

Published 29 Nov 2022 (https://doi.org/10.7490/f1000research.1119248.1)

Author Affiliations

¹ The Lawrence J. Ellison Institute for Transformative Medicine, USA

Copyright © 2022 Chen X et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 29 Nov 2022

SPE3D: A Distributed and scalable 2D/3D digital pathology platform
[version 1; not peer reviewed]

Xingyao Chen¹, Edwin Heredia¹, Shiva Patre¹, Jerry S.H. Lee, Naim Matasci, David B Agus

Author Affiliations

¹ The Lawrence J. Ellison Institute for Transformative Medicine, USA

Presented at

Pacific Symposium on Biocomputing (PSB), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Digital Pathology, Distributed Computing, Cloud Computing, Machine Learning

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