Project description
Artificial intelligence system increases colorectal polyp detection rates
According to the World Cancer Research Fund, colorectal cancer is the third most frequent form of cancer worldwide. Traditionally, colorectal cancer screening takes place through colonoscopy. Despite technological advancements to improve visualisation and resolution, there are still procedural limitations, which may leave up to 20 % of polyps undetected. This leads to more than 44 500 cases of preventable cancer in Europe every year. The EU-funded MagentiqEye project has developed an automatic polyp detection system that works as an additional eye, highlighting any polyps that appear on the physician's screen during examination. Using deep learning and computer vision techniques, this artificial intelligence system could greatly improve the quality and performance of colonoscopy tests.
Objective
The World Cancer Research Fund estimates the colorectal cancer to be the third-most
occurring form of cancer around the world. In 2012, more than 1 Million people were
diagnosed with colorectal cancer. These incidences of colorectal cancer have boosted demand
for their diagnostics worldwide. In fact, colon cancer screening has increased greatly in first
world countries with mature health care delivery systems. Despite this progress the problem
of undetected or missed polyps during colonoscopy procedures remains a significant problem:
about 8 -10% of the CR cancer cases, resulting in more than 44,500 of preventable cancer in
Europe annually. MagentiqEye has developed an Automatic Polyp Detection System (the
APDS) which uses mainly Deep Learning and Computer Vision techniques in order to detect
the polyps which appear on the physician screen during the test. APDS is an AI system which
works as additional eye, helping doctors to detect polyps. This decision support system can
improve the quality and performance (less miss-rete) of the colonoscopy test, having a high
impact in the prevention of cancer. MagentiqEye seeks funding to conduct a feasibility study
to prove technical and commercial viability, conducting an analytical exercise to position the
product. The objective is to test the economic viability of the system among a larger pool of
potential clients (user-acceptance), and to assess if the chosen commercialisation approach
will be conducive of the projected growth on the European level.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography mortality
- natural sciences computer and information sciences artificial intelligence computer vision
- medical and health sciences clinical medicine oncology colorectal cancer
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
3541416 HAIFA
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.