The Digital Brain Tumour Atlas, an open histopathology resource.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
15 02 2022
15 02 2022
Historique:
received:
13
04
2021
accepted:
22
12
2021
entrez:
16
2
2022
pubmed:
17
2
2022
medline:
16
4
2022
Statut:
epublish
Résumé
Currently, approximately 150 different brain tumour types are defined by the WHO. Recent endeavours to exploit machine learning and deep learning methods for supporting more precise diagnostics based on the histological tumour appearance have been hampered by the relative paucity of accessible digital histopathological datasets. While freely available datasets are relatively common in many medical specialties such as radiology and genomic medicine, there is still an unmet need regarding histopathological data. Thus, we digitized a significant portion of a large dedicated brain tumour bank based at the Division of Neuropathology and Neurochemistry of the Medical University of Vienna, covering brain tumour cases from 1995-2019. A total of 3,115 slides of 126 brain tumour types (including 47 control tissue slides) have been scanned. Additionally, complementary clinical annotations have been collected for each case. In the present manuscript, we thoroughly discuss this unique dataset and make it publicly available for potential use cases in machine learning and digital image analysis, teaching and as a reference for external validation.
Identifiants
pubmed: 35169150
doi: 10.1038/s41597-022-01157-0
pii: 10.1038/s41597-022-01157-0
pmc: PMC8847577
doi:
Types de publication
Dataset
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
55Subventions
Organisme : Austrian Science Fund FWF
ID : TAI 98
Pays : Austria
Informations de copyright
© 2022. The Author(s).
Références
Med Image Anal. 2019 Dec;58:101544
pubmed: 31466046
J Pathol Inform. 2013 Sep 27;4:27
pubmed: 24244884
Neuro Oncol. 2020 Oct 30;22(12 Suppl 2):iv1-iv96
pubmed: 33123732
Lab Invest. 2019 Oct;99(10):1515-1526
pubmed: 31201368
Neuro Oncol. 2009 Jun;11(3):330-9
pubmed: 19001097
Nat Med. 2018 Oct;24(10):1611-1624
pubmed: 30150718
Neuro Oncol. 2017 May 1;19(5):614-624
pubmed: 28339700
Neuro Oncol. 2016 Jan;18(1):70-7
pubmed: 26459813
Science. 2018 May 11;360(6389):660-663
pubmed: 29748285
Proc Natl Acad Sci U S A. 2018 Mar 27;115(13):E2970-E2979
pubmed: 29531073
Sci Rep. 2017 Dec 4;7(1):16878
pubmed: 29203879
Nature. 2018 Mar 22;555(7697):469-474
pubmed: 29539639
J Neurosci Methods. 2019 Jan 1;311:215-221
pubmed: 30365968
NPJ Precis Oncol. 2017 Jun 19;1(1):22
pubmed: 29872706
Nat Methods. 2012 Feb 28;9(3):245-53
pubmed: 22373911
Anal Quant Cytol Histol. 2001 Aug;23(4):291-9
pubmed: 11531144
IEEE Trans Med Imaging. 2016 Feb;35(2):404-15
pubmed: 26353368
Cell Rep. 2018 Apr 3;23(1):181-193.e7
pubmed: 29617659