A new Collaborative Platform for Covid-19,Benchmark Datasets

Fast and efficient collaboration among researchers 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. This platform aims 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 on the detection of Covid-19. Indeed, this current paltform help 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. © 2022, Springer Nature Switzerland AG.