From December 1st, 2022 a new partner officially joined to the iToBoS consortium: Canfield Scientific GMBH. Due the termination of Barco NV’s activities in the project on M18 (September 2022), it was necessary to include a new partner to replace it.
In the framework of the iToBoS project, Canfield will integrate different software components, develop an intelligent human-computer interface, and evaluate the design and concept of the new total body photography scanner for its clinical use. Canfield is the leader of the WP9 Integration and Technical Validation, and also participates in WP1 Project Coordination and Management, WP4 Implementation of AI privacy and anonymization, WP5 Development of the Total Body Scanner, WP6 Algorithms for real-time 3D full-body mapping and pigmented lesion processing, WP11 Patient engagement and education and WP12 Communication, dissemination & exploitation activities.
Canfield Scientific is a global leader in imaging systems, services and products for scientific research and healthcare applications, including the pharmaceutical, biotechnology, cosmetics, medical and skin care industries.
Canfield Scientific continues to be the premier worldwide supplier of digital photographic systems, imaging software, and associated support services to aid healthcare professionals in improving patient communications and managing treatment outcomes.
As a technology company, Canfield Scientific creates leading edge technology assets on our own and in partnership with industry, academia, and research centres to solve complex imaging problems. Moreover, for three decades Canfield Scientific has been developing both hardware and software for medical imaging products.
Canfield is equipped will all the necessary equipment and infrastructure for developing medical products. This includes electronic laboratories, mechanical workshops etc.
As one of the world's leading clinical services imaging providers, Canfield also maintains a secure data managing centre to securely handle extensive customer medical imaging data.