Computer Vision in Medical Imaging
The TAMI (Transparent Artificial Medical Intelligence) project aims to develop and validate methods of explainable artificial intelligence in the field of medical imaging. The work plan of this fellowship consists of the development of explainability methods in the area of pathology detection in chest radiography. In detail, methods of explainability based on artificially generated examples will be explored, as well as explainability for longitudinal cases.
Master's in Biomedical Engineering, Computer Engineering, Computer Science, or related;
Minimum profile required
Master's average equal to or greater than 14; experience in computer vision and/or deep learning.
Experience in chest x-ray image analysis; Python and PyTorch/Keras experience; desire to pursue a doctorate in the field.
Since 20 Jul 2022 to 02 Aug 2022
Cluster / Centre
Networked Intelligent Systems / Biomedical Engineering Research