Objective
Breast cancer is the most common cancer diagnosed in women worldwide. This has motivated the establishment of breast screening (BSPs). X-ray mammography is the current gold standard technique in BSPs for early breast cancer detection. However, this technique suffers from performance limitations due to tissue superposition which can either mimic or obscure malignant pathology. For this reason digital breast tomosynthesis (DBT) is currently being investigated.
DBT consists of a series of projected images of the breast with potential to overcome the aforementioned limitations. However, DBT shows high levels of scattered radiation within the image receptor which can reduce significantly the visibility of breast lesions and the lesion detection performance of computer-aided diagnosis (CAD) systems. CAD systems are frequently used in BSPs to provide useful information to radiologist regarding breast lesion location and characterisation, thus CAD’s performance is critical to achieve acceptable breast cancer diagnosis rates.
The aim of this fellowship is to develop a novel tool to reduce scattered radiation directly from clinically acquired DBT projections. These scatter-reduced images will be incorporated, for the first time, into a new DBT CAD system to significantly improve the detection of subtle lesions as microcalcification clusters (MCC). The scatter reduction will be achieved after adapting an existing convolution-based algorithm for synthetic DTB images to work with clinically acquired DBT images. The CAD experience of ViCOROB and the DBT experts’ support from UDIAT guarantee the success of this project as well as the correct transfer of knowledge from the lab to the clinical site. The proposed tool will enable radiologists to detect more accurately breast lesions and therefore reduce the mortality in breast cancer patients. It is also planned to commercialise the output CAD tool to clinical sites through existing medical imaging companies or via a spin-off.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences sociology demography mortality
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- medical and health sciences clinical medicine oncology breast cancer
- medical and health sciences basic medicine pathology
- engineering and technology medical engineering diagnostic imaging
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF-EF-ST - Standard EF
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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-MSCA-IF-2014
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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.
17004 Girona
Spain
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.