Project inserted within the research areas of machine learning and computer vision.
[Closed]
Work description
Within the scope of the CAGED project, the collection and compilation of an annotated database of videos of gastric endoscopy exams is planned. It is intended that the scholarship holder support the database compilation process, namely in the collection, validation and anonymization of the collected data, creation of the annotation protocol, development/selection of the tool for annotating endoscopic images, data organization, and storage and secure access on a server.
Academic Qualifications
The fellow must have a degree in Genetics and Biotechnology and be a Master's student in Biomedical Engineering.
Minimum profile required
Knowledge of biological sciences and computer vision, especially in image deep learning methodologies.
Preference factors
Knowledge of biology, image processing, computer vision and deep learning methods applied to medical imaging.
Application Period
Since 06 Oct 2022 to 19 Oct 2022
[Closed]
Centre
Biomedical Engineering Research