INCISIVE
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Project |
INCISIVE |
| Title | A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer | Acronym | INCISIVE |
| Project ID | 952179 | Call | H2020-SC1-FA-DTS-2019-1 |
| Programme | H2020-UE.3.1.5 - Methods and data | ||
| Activity | HTPC DT-TDS-O5-2020 Al for Health Imaging | ||
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Abstract
| Although artificial intelligence (AI) and machine learning (ML) provide unprecedented opportunities for improved cancer detection, various technical challenges as well as a lack of data availability hamper their utilisation. The EU-funded INCISIVE project aims to develop a toolbox for enhancing the accuracy, specificity and sensitivity of existing cancer imaging methods. The idea is to generate a pan-European repository of medical images that can be used for ML-based training for various types of cancer. The project's deliverables will assist the accurate prediction of tumour spread, evolution and relapse, in addition to helping stratify patients. |
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