Computer Vision in Medical Imaging
The purpose of the grants is the development and validation of explainable artificial intelligence methods in the area of chest radiography image analysis. The work plans of the grants consist of exploring methods to explain the decision of automatic algorithms, namely image quality control, retrieval of x-ray images for comparison, pathology prediction through structured reports and explanations in longitudinal cases.
Master's Student in Biomedical Engineering, Computer Engineering, Computer Science, or related;
Minimum profile required
Average degree 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 carry out a master's thesis in the area.
Since 20 Jul 2022 to 02 Aug 2022
Cluster / Centre
Networked Intelligent Systems / Biomedical Engineering Research