Project inserted within the research areas of machine learning and computer vision.
[Closed]
Work description
Within the scope of the CAGED project, the detection and classification of gastrointestinal lesions is foreseen. The scholarship holder's work will take place at UTAD's facilities and are developed within the scope of this project, with the following main associated tasks: - Investigating and developing new explainable deep learning algorithms for detecting lesions; - Prototype development and testing.
Academic Qualifications
Degree in Bioengineering Engineering
Minimum profile required
The fellow must have a degree in Bioengineering and be a Master's student in Biomedical Engineering. Must have computer vision knowledge, especially in deep learning methodologies in imaging.
Preference factors
Knowledge of biology, image processing, computer vision and deep learning methods applied to medical imaging.
Application Period
Since 14 Jun 2023 to 27 Jun 2023
[Closed]
Centre
Biomedical Engineering Research