B1 Non-refereed article in a scientific journal

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




AuthorsMulliqi Nita, Kartasalo Kimmo, Olsson Henrik, Ji Xiaoyi, Egevad Lars, Eklund Martin, Ruusuvuori Pekka

PublisherOXFORD UNIV PRESS

Publication year2021

JournalBioinformatics

Journal acronymBIOINFORMATICS

Volume37

Issue21

First page 3995

Last page3997

Number of pages3

ISSN1367-4803

eISSN1367-4811

DOIhttps://doi.org/10.1093/bioinformatics/btab578

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

Self-archived copy’s web addresshttps://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.

Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 17:17