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Research Opportunity
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Research Opportunity

Medical image analysis, machine/deep learning, lung cancer


Work description

CAD systems for 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 the visual description of tumours, limiting themselves to a subjective and qualitative characterization. The objective of LuCaS is to create a radiomics-based approach to describe and create of predictive models relating images' phenotypes with genomics' signatures, based on a non-invasive methodology.

Academic Qualifications

PhD in bioengineering, electrical and computer engineering, computer sciences or similar

Minimum profile required

Experience in projects related to image processing and machine learning.

Preference factors

Experience in image processing and analysis, machine learning, Python, OpenCV, Matlab.

Application Period

Since 28 Jan 2019 to 22 Feb 2019


Scientific Advisor

António Cunha