Contribution to collective works (Parts of books)
A new Collaborative Platform for Covid-19, Benchmark Datasets
Debauche, Olivier; Mahmoudi, Said; Mahmoudi, Sidi et al.
2021In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics
 

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Keywords :
[en] medical research; [en] sharing data; [en] exchange data; [en] Covid-19; [en] medical data
Abstract :
[en] Fast and efficient collaboration between researcher is a crucial task to advance effectively in Covid-19 research. In this chapter, we present a new collaborative platform allowing to exchange and share both medical benchmark datasets and developed applications rapidly and securely between research teams. The aim of this platform is to facilitate and encourage the exploration of new fields of research. This platform implements proven data security techniques allowing to guarantee confidentiality, mainly Argon2id password hashing algorithm, anonymization, expiration of forms, and datasets double encryption and decryption with AES 256-GCM and XChaCha20Poly1305 algorithms. Our platform has been successfully tested as part of a project aiming to develop artificial intelligence algorithms for imagery based upon detection of Covid-19. Indeed, by using our collaborative platform allowed us to advance more quickly on the development of some artificial intelligence algorithms which mainly achieve both segmentation and classification of CT-Scan and X-Ray images of patients' lungs and chests.
Disciplines :
Electrical & electronics engineering
Agriculture & agronomy
Author, co-author :
Debauche, Olivier  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Said  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Mahmoudi, Sidi  ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Manneback, Pierre ;  Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle
Language :
English
Title :
A new Collaborative Platform for Covid-19, Benchmark Datasets
Publication date :
21 March 2021
Main work title :
Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics
Publisher :
Springer
Research unit :
F114 - Informatique, Logiciel et Intelligence artificielle
Research institute :
R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
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