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[The first data challenge of the french society of pathology: An international competition in 2020, a research tool in A.I. for the future?]

Authors :
Agathe, Delaune
Séverine, Valmary-Degano
Nicolas, Loménie
Karim, Zryouil
Nesrine, Benyahia
Olivier, Trassard
Virginie, Eraville
Christine, Bergeron
Mojgan, Devouassoux-Shisheboran
Claire, Glaser
Guillaume, Bataillon
Emmanuel, Bacry
Stéphanie, Combes
Sophie, Prevot
Philippe, Bertheau
Source :
Annales de pathologie. 42(2)
Publication Year :
2021

Abstract

The french society of pathology (SFP) organized in 2020 its first data challenge with the help of Health Data Hub (HDH). The organisation of this event first consisted in recruiting almost 5000 slides of uterus cervical biopsies obtained in 20 pathology centers. After having made sure that patients did not refuse to include their slides in the project, the slides were anonymised, digitized and annotated by expert pathologists, and were finally uploaded on a data challenge platform for competitors all around the world. Competitors teams had to develop algorithms that could distinguish among four diagnostic classes in epithelial lesions of uterine cervix. Among many submissions by competitors, the best algorithms obtained an overall score close to 95%. The best 3 teams shared 25k€ prizes during a special session organised during the national congress of the SFP. The final part of the competition lasted only 6 weeks and the goal of SFP and HDH is now to allow for the collection to be published in open access. This final step will allow data scientists and pathologists to further develop artificial intelligence algorithms in this medical area.

Details

Language :
French
ISSN :
02426498
Volume :
42
Issue :
2
Database :
OpenAIRE
Journal :
Annales de pathologie
Accession number :
edsair.pmid..........6a958de54bf32a3da219f9a1fd287226