Skip to content

ViCOROB is leading a health project that aims to develop an AI diagnostic platform for early detection of melanoma.

April 22, 2021

ViCOROB, is the leader of the iToBos –Intelligent Total Body for Early Detection of Melanoma H2020 European project. The project will aim to develop a novel total body scanner and a Computer Aided Diagnostics (CAD) tool to integrate various data sources such as medical records, genomics data and in vivo imaging.

 

The project will provide a new AI-powered personalized diagnostic tool for early detection of melanoma exploiting all available sources of information for a given patient, such as demographics information, clinical history, family history, genetic predisposition, phenotypic characteristics and skin imaging data. All this information will allow accurate risk stratification and personalized care to transform clinical practice, leading to a holistic melanoma risk score for every patient. Moreover, the explainable AI components developed in iToBoS will be able to deliver in-depth explanatory feedback to the dermatologists using our technology, as part of the workflow of the delivered risk assessment software tools explained Prof. Rafael Garcia, head of the Computer Vision Lab and full professor at the Polytechnic School of the University of Girona (UdG).

 

New total body scanner

 

Besides of taking the lead of the project, ViCOROB will deal with the overall system architecture, use of liquid lenses and image processing.

 

The members of the consortium cover both research (5 research centers) and industrial areas (4 industrial companies and 6 SMEs), as well as the end users of the technology to be developed (3 hospitals and 1 patients’ NPO). Overall, it makes a strong and well-balanced partnership, built to ensure the achievement of the ambitious project results.

 

That project is funded by the European Comission under the H2020 research and innovation programme, allocating €12 M.

 

More information at: https://vicorob.udg.edu/portfolio_page/itobos/

Share it!

More News

bernal3
October 27, 2020

DOCTORAL THESIS: Deep learning for atrophy quantification in brain magnetic resonance imaging

News, Scientific Results

catedra-udigitalEdu
November 26, 2020

Càtedra Tekhné, nova aliança amb el territori

Educational Robotics, News

brain_imaging
May 7, 2019

New article: Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

Medical Imaging Lab, News

DSCN5217
September 15, 2014

FP7 European Project MORPH: next generation of underwater robotics for ocean exploration tested in the Azores

News, Projects, Underwater Robotics, Underwater Vision