[visionlist] PhD grant contract in Medical image analysis, machine/deep learning

[Helder P. Oliveira]

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 factor

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

Application Period

Since 07 Nov 2018 to 30 Nov 2018

More information:

https://www.inesctec.pt/en/opportunities/medical-image-analysis-machine-deep
-learning-lung-cancer-AE2018-0331#intro

 

 

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Manager of the Information Processing and Pattern Recognition Area at INESC
TEC

Senior Researcher, PhD, Centre for Telecommunications and Multimedia at
INESC TEC

Invited Assistant Professor, FCUP

Rua Dr. Roberto Frias

4200-465 Porto, Portugal

Tel: +351 222094306

http://www.inescporto.pt/~hfpo/

http://vcmi.inescporto.pt/

http://medicalresearch.inescporto.pt/breastresearch/

 

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