Article or data-article in scientific journal (B1)

OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology



List of Authors: Mulliqi Nita, Kartasalo Kimmo, Olsson Henrik, Ji Xiaoyi, Egevad Lars, Eklund Martin, Ruusuvuori Pekka

Publisher: OXFORD UNIV PRESS

Publication year: 2021

Journal: Bioinformatics

Journal acronym: BIOINFORMATICS

Volume number: 37

Issue number: 21

Start page: 3995

End page: 3997

Number of pages: 3

ISSN: 1367-4803

eISSN: 1367-4811

DOI: http://dx.doi.org/10.1093/bioinformatics/btab578

URL: https://academic.oup.com/bioinformatics/article/37/21/3995/6343446

Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/68673505


Abstract
Digital pathology enables applying computational methods, such as deep learning, in pathology for improved diagnostics and prognostics, but lack of interoperability between whole slide image formats of different scanner vendors is a challenge for algorithm developers. We present OpenPhi-Open PatHology Interface, an Application Programming Interface for seamless access to the iSyntax format used by the Philips Ultra Fast Scanner, the first digital pathology scanner approved by the United States Food and Drug Administration. OpenPhi is extensible and easily interfaced with existing vendor-neutral applications.

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Last updated on 2022-07-04 at 16:21