CAD systems for the automatic detection of pulmonary nodules on CT are one of the most studied applications. Although these systems improve the performance of radiologists, they usually only allow visual description of the tumors, limiting themselves to a subjective and qualitative characterization. The objective of LuCaS is to create a radiomics based approach to describe and create predictive models relating image phenotypes to genomic signatures, as well as a non-invasive methodology.
The award of the scholarship assumes that the candidate is a student in a PhD study cycle
Minimum profile required
Knowledge in image processing and machine learning
Experience in bio-related projects
Since 14 Aug 2020 to 21 Sep 2020
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia