Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1)

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




Julkaisun tekijät: Mulliqi Nita, Kartasalo Kimmo, Olsson Henrik, Ji Xiaoyi, Egevad Lars, Eklund Martin, Ruusuvuori Pekka

Kustantaja: OXFORD UNIV PRESS

Julkaisuvuosi: 2021

Journal: Bioinformatics

Lehden akronyymi: BIOINFORMATICS

Volyymi: 37

Julkaisunumero: 21

Sivujen määrä: 3

ISSN: 1367-4803

eISSN: 1367-4811

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

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

Rinnakkaistallenteen osoite: https://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