Computational Pathology using Artificial Intelligence

Computational Pathology aims to use Artificial Intelligence (AI) to analyse and interpret pathology data (tissue Images), to enhance diagnosis and improve precision, improve treatment decisions and eventually reduce the workload of pathologists. This important field of Medical Image Analysis is also combined with other health-related data, from clinician reports, genomics and longitudinal studies.

This project will focus on developing new AI approaches, based on Vision-Language models and beyond to advance the functionality and effectiveness of Computational Pathology systems.

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 expertise in Machine Learning / Artificial Intelligence.

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: https://scholar.google.co.uk/citations?user=vHv7JRcAAAAJ

Funding Notes

there is no funding for this project