A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Tekijät: Weitz P, Valkonen M, Solorzano L, Carr C, Kartasalo K, Boissin C, Koivukoski S, Kuusela A, Rasic D, Feng YB, Pouplier SS, Sharma A, Eriksson KL, Latonen L, Laenkholm AV, Hartman J, Ruusuvuori P, Rantalainen M
Kustantaja: NATURE PORTFOLIO
Julkaisuvuosi: 2023
Journal: Scientific Data
Tietokannassa oleva lehden nimi: SCIENTIFIC DATA
Lehden akronyymi: SCI DATA
Artikkelin numero: 562
Vuosikerta: 10
Sivujen määrä: 6
DOI: https://doi.org/10.1038/s41597-023-02422-6
Verkko-osoite: https://doi.org/10.1038/s41597-023-02422-6
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/181126948
The 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
