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

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dc.contributor.authorMulliqi Nita
dc.contributor.authorKartasalo Kimmo
dc.contributor.authorOlsson Henrik
dc.contributor.authorJi Xiaoyi
dc.contributor.authorEgevad Lars
dc.contributor.authorEklund Martin
dc.contributor.authorRuusuvuori Pekka
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id68673505
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/68673505
dc.date.accessioned2022-10-28T13:57:03Z
dc.date.available2022-10-28T13:57:03Z
dc.description.abstractDigital 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.
dc.format.pagerange3995
dc.format.pagerange3997
dc.identifier.eissn1367-4811
dc.identifier.jour-issn1367-4803
dc.identifier.olddbid185381
dc.identifier.oldhandle10024/168475
dc.identifier.urihttps://www.utupub.fi/handle/11111/42166
dc.identifier.urlhttps://academic.oup.com/bioinformatics/article/37/21/3995/6343446
dc.identifier.urnURN:NBN:fi-fe2022012710943
dc.language.isoen
dc.okm.affiliatedauthorRuusuvuori, Pekka
dc.okm.discipline111 Mathematicsen_GB
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline318 Medical biotechnologyen_GB
dc.okm.discipline111 Matematiikkafi_FI
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline318 Lääketieteen bioteknologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeB1 Scientific Journal
dc.publisherOXFORD UNIV PRESS
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1093/bioinformatics/btab578
dc.relation.ispartofjournalBioinformatics
dc.relation.issue21
dc.relation.volume37
dc.source.identifierhttps://www.utupub.fi/handle/10024/168475
dc.titleOpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology
dc.year.issued2021

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