AI supported picture analysis in large bowel camera capsule endoscopy

Projektinformationen

AICE

ID Finanzhilfevereinbarung: 101057400

DOI

10.3030/101057400

EK-Unterschriftsdatum 23 Mai 2022

Startdatum 1 September 2022

Enddatum 31 August 2026

Finanziert unter

• Health

Gesamtkosten

€ 4 650 798,75

EU-Beitrag

€ 4 650 794,75

Koordiniert durch

REGION SYDDANMARK
Denmark

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Peer reviewed articles (1)

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

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