Image Colour Correction

1/06/2022.

Image colour correction is the task of altering the colours in an image to match the wanted colours, usually the colours humans perceived at the scene acquisition. One popular way of doing that is by using a Colour Checker.

Digital Communication Workshop

31/05/2022.

iToBoS organized an internal workshop on digital communication on May 31, 2022, via video conferencing system.

Applying Artificial Intelligence Privacy Technology in the Healthcare Domain

31/05/2022.

The scientific work "Applying Artificial Intelligence Privacy Technology in the Healthcare Domain", supported by iToBoS project, has been published.

iToBoS project presented in the Medical Informatics Europe Congress 2022

30/05/2022.

iToBoS project was presented at the conference "Applying AI Privacy Technology in the Healthcare Domain", in the Medical Informatics Europe Congress (MIE 2022).

Extraordinary General Assembly (GA) meeting

30/05/2022.

An extraordinary General Assembly (GA) meeting took place on 30th May 2022 throughout video conference system with the attendance of 28 participants belonging to the 19 project partner organizations.

Convolutional Neural Networks (CNN) for image processing

30/05/2022.

Convolutional neural networks are a type of neural networks often used to perform machine learning techniques on images.

[FR] iToBoS presented in Actu Toulouse

27/05/2022.

iToBoS project was presented on May 25, 2022, in Actu Toulouse. The article is written in French.

An Introduction to Generative Adversarial Networks (GAN)

25/05/2022.

Generative Adversarial Networks are unsupervised neural networks that are able to analyse information from a dataset and produce similar new samples.

iToBoS project at Liquid Biopsies Congress 2022 (European Association for Cancer Research)

24/05/2022.

iToBoS project was presented in Liquid Biopsies Congress 2022 of European Association for Cancer Research (EACR).

Economic burden of skin cancers in Europe

23/05/2022.

As observed by Dr Eline Noels of the Erasmus University of Rotterdam, the knowledge of the economic burden of skin cancers is “essential to enable health policy decision-makers to make well-informed decisions on potential interventions and to be able to evaluate the future effect of these decisions”.