Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1)

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




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

KustantajaOXFORD UNIV PRESS

Julkaisuvuosi2021

JournalBioinformatics

Lehden akronyymiBIOINFORMATICS

Volyymi37

Julkaisunumero21

Aloitussivu3995

Lopetussivun numero3997

Sivujen määrä3

ISSN1367-4803

eISSN1367-4811

DOIhttp://dx.doi.org/10.1093/bioinformatics/btab578

Verkko-osoitehttps://academic.oup.com/bioinformatics/article/37/21/3995/6343446

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/68673505


Tiivistelmä
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