B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä
OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
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
Vuosikerta: 37
Numero: 21
Aloitussivu: 3995
Lopetussivu: 3997
Sivujen määrä: 3
ISSN: 1367-4803
eISSN: 1367-4811
DOI: https://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
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
