Medical image analysis, machine/deep learning, cervical cancer
The purpose of the CLARE project is to achieve results that exceed the current state-of-the-art in cervical cancer screening and diagnosis, in both cytology and colposcopy procedures, by creating a Computer Aided-Diagnosis (CADx) system that can be easily integrated in the conventional clinical workflow.
PhD in bioengineering, electrical and computer engineering, computer sciences or similar
Minimum profile required
Experience in projects related to image processing and machine learning.
Experience in image processing and analysis, machine learning, Python, Tensorflow, pyTorch, OpenCV.
Since 06 Dec 2019 to 31 Jan 2020
Cluster / Centre
Networked Intelligent Systems / Telecommunications and Multimedia