- prepare a survey on transparent solutions for medical image analysis; - investigate and propose new solutions to analyse medical images, overcoming the limitations of current systems; - carry out an experimental comparative study of the proposed solutions and state of the art, based on project datasets or publicly available; - write a scientific article; - write the activity report for the scholarship.
student of a first cycle of higher education studies in electrical engineering, informatics, bioengineering, informatics or a similar area;
Minimum profile required
- global grade average in study cycle or in the first 3 years of the study cycle greater than or equal to 15 (in 20).
- experience in computer vision; - experience in machine learning models; - experience in deep learning models; - experience in python.
Since 13 Apr 2022 to 28 Apr 2022
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia