AI supported picture analysis in large bowel camera capsule endoscopy

Informazioni relative al progetto

AICE

ID dell’accordo di sovvenzione: 101057400

DOI

10.3030/101057400

Data della firma CE 23 Maggio 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2026

Finanziato da

• Health

Costo totale

€ 4 650 798,75

Contributo UE

€ 4 650 794,75

Coordinato da

REGION SYDDANMARK
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (1)

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

Autori: Ashkan Tashk; Jürgen Herp; Thomas Bjørsum-Meyer; Anastasios Koulaouzidis; Esmaeil S. Nadimi
Pubblicato in: Diagnostics; Volume 12; Numero 12; Pages: 2952, 2022, ISSN 2075-4418
Editore: MDPI AG
DOI: 10.3390/diagnostics12122952