Medical Image Analysis aims to extract information from available visual modalities such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultasonography (US) to detect conspicuous structures, quantigy their properties, evaluate the effectiveness of treatment or diagnose a condition.
This project will focus on Computer Vision and Machine/Deep Learning approaches, aiming to develop tools that automate the process of Medical Image Analysis and support clinicians in their task of making appropriate decisions.
Candidates should have appropriate academic qualifications (first or upper second class honours, and preferably MSc) in Computer Science, Engineering, Mathematics, Physics or other relevant area, strong background in programming and desire to become experts in Computer Vision and Machine Deep Learning.
Qualified applicants are encouraged to contact Prof Dimitrios Makris (d.makris@kingston.ac.uk) to informally discuss the project.
Supervisor’s profile:
https://www.kingston.ac.uk/staff/profile/professor-dimitrios-makris-151/
Google Scholar profile:
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