A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics

dc.contributor.authorWeitz P
dc.contributor.authorValkonen M
dc.contributor.authorSolorzano L
dc.contributor.authorCarr C
dc.contributor.authorKartasalo K
dc.contributor.authorBoissin C
dc.contributor.authorKoivukoski S
dc.contributor.authorKuusela A
dc.contributor.authorRasic D
dc.contributor.authorFeng YB
dc.contributor.authorPouplier SS
dc.contributor.authorSharma A
dc.contributor.authorEriksson KL
dc.contributor.authorLatonen L
dc.contributor.authorLaenkholm AV
dc.contributor.authorHartman J
dc.contributor.authorRuusuvuori P
dc.contributor.authorRantalainen M
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id181126948
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/181126948
dc.date.accessioned2025-08-28T01:54:21Z
dc.date.available2025-08-28T01:54:21Z
dc.description.abstractThe analysis of FFPE tissue sections stained with haematoxylin and eosin (H & E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess the status of several established biomarkers, including ER, PGR, HER2 and KI67. Biomarker assessment can also be facilitated by computational pathology image analysis methods, which have made numerous substantial advances recently, often based on publicly available whole slide image (WSI) data sets. However, the field is still considerably limited by the sparsity of public data sets. In particular, there are no large, high quality publicly available data sets with WSIs of matching IHC and H & E-stained tissue sections from the same tumour. Here, we publish the currently largest publicly available data set of WSIs of tissue sections from surgical resection specimens from female primary breast cancer patients with matched WSIs of corresponding H & E and IHC-stained tissue, consisting of 4,212 WSIs from 1,153 patients.
dc.identifier.jour-issn2052-4463
dc.identifier.olddbid208256
dc.identifier.oldhandle10024/191283
dc.identifier.urihttps://www.utupub.fi/handle/11111/57648
dc.identifier.urlhttps://doi.org/10.1038/s41597-023-02422-6
dc.identifier.urnURN:NBN:fi-fe2025082791927
dc.language.isoen
dc.okm.affiliatedauthorValkonen, Masi
dc.okm.affiliatedauthorCarr, Circe
dc.okm.affiliatedauthorKuusela, Aino
dc.okm.affiliatedauthorRuusuvuori, Pekka
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3122 Cancersen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.discipline3122 Syöpätauditfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherNATURE PORTFOLIO
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumber562
dc.relation.doi10.1038/s41597-023-02422-6
dc.relation.ispartofjournalScientific Data
dc.relation.volume10
dc.source.identifierhttps://www.utupub.fi/handle/10024/191283
dc.titleA Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
dc.year.issued2023

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