When I started to work on privacy technologies at IBM Research almost 15 years ago, virtually no-one was talking about privacy or the rights of data subjects with regard to their data. There were a few academic conferences out there focused (at least partially) on privacy, but it was a very niche domain with little interest outside of the small community working on it directly.

The impact of the iToBoS project in Hungary continued through new publications in numerous broad-spectrum national digital newspapers and magazines.

iToBoS project has been presented in Hungary with the article “Mesterséges intelligenciát használó eszköz készül a melanóma korai felismerésére”.

The University of Girona has open a full-time Postdoctoral position with experience in Machine Learing in the Computer Vision and Robotics Institute (VICOROB). 

iToBoS é um projeto de investigação financiado pelo programa de investigação e inovação Horizonte 2020 da União Europeia. Este projeto tem como objetivo construir uma nova ferramenta de diagnóstico para a deteção precoce do melanoma, explorando todas as informações disponíveis do paciente.

The scientific work "Towards the Interpretability of Deep Learning Models for Human Neuroimaging", with the support of iToBoS project, has been published. 

The iToBoS project revolves around the use of artificial intelligence algorithms to analyse the images from the patient’s skin and give a comprehensive output to the doctors to help on their diagnostic.

Do you want to read more about the project in Hebrew?. In this article we present iToBoS.

iToBoS is one of the only five projects, out of more than 150 proposals, that have been selected by the European Research Council Horizon 2020 program.

A manual examination of skin lesions with a dermatoscope is the current standard procedure and state of the art in dermatoscopy. This is a highly laborious process, often limited to a small selection of lesions which excludes registering the state of off-lesion skin regions.