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The INCISIVE project focuses on improving cancer imaging through the use of Artificial Intelligence and Machine Learning. It aims to enhance detection and classification methods, optimize imaging processes, and create a secure platform for sharing medical data to facilitate research and innovation in cancer treatment.
The increasing amount and availability of collected data (cancer imaging) and the development of novel technological tools based on Artificial Intelligence (AI) and Machine Learning (ML), provide unprecedented opportunities for better cancer detection and classification, image optimization, radiation reduction, and clinical workflow enhancement.
The INCISIVE project aims to address three major open challenges in order to explore the full potential of AI solutions in cancer imaging: (1) AI challe…
MAGGIOLI SPA
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
RESEARCH UNIVERSITY INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Greece, ATHINA
Type: Research institute
Activity type: Research Organisations
SME: No
CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS CERTH
Greece, Thermi Thessaloniki
Type: Research institute
Activity type: Research Organisations
SME: No
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