AI supported picture analysis in large bowel camera capsule endoscopy

Project Information

AICE

Grant agreement ID: 101057400

DOI

10.3030/101057400

EC signature date 23 May 2022

Start date 1 September 2022

End date 31 August 2026

Funded under

• Health

Total cost

€ 4 650 798,75

EU contribution

€ 4 650 794,75

Coordinated by

REGION SYDDANMARK
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Other (1)

Ethics survey

Initial literature survey of the state of the art in ethics of AI research and highlighted areas.

Documents, reports (7)

Study initiation package

Study registration, final version of the protocol and ethical approval where applicable.

Data management plan

Data management plan prepared in DMPOnline. The plan will be updated on a regular basis.

Midterm recruitment report

A report on the progress of the inclusion of patient data in the database.

Project kick-off meeting

Report that documents the list of participants, meeting agenda, and inauguration of the General Assembly.

Project start-up package & project repository

Project handbook that includes timelines for meetings and reporting, reporting templates, mailing lists as well as ethics ground rules, guidelines, and informed consent forms.

Dissemination, Communication and Exploitation Plan

A detailed plan of all the project’s communication and dissemination activities will be prepared. It will include the plan for engagement of relevant stakeholders. This deliverable will also document the consortium and individual partner exploitation goals, objectives, strategies and plans to meet the defined objectives.

Meta-analysis

Meta-analysis submitted to an international journal with peer review and high impact.

Websites, patent fillings, videos etc. (1)

Project website

This deliverable will present the first release of the Project Website.

Publications

Peer reviewed articles (1)

AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images

Author(s): Ashkan Tashk; Jürgen Herp; Thomas Bjørsum-Meyer; Anastasios Koulaouzidis; Esmaeil S. Nadimi
Published in: Diagnostics; Volume 12; Issue 12; Pages: 2952, 2022, ISSN 2075-4418
Publisher: MDPI AG
DOI: 10.3390/diagnostics12122952