Computer Aided Diagnostic System for Cardiovascular Disease

Lead Research Organisation: Imperial College London
Department Name: Dept of Computing

Abstract

My current PhD research topic is focused on creating a decision support system for radiologists that can facilitate the diagnostic process without the need for labeled data. Our aim is to use past radiological exams (in various modalities, including X-rays and MRI) and their corresponding reports (created by clinicians as part of the normal protocol within a hospital)and develop a learning framework that can learn the correspondence between the image regions and parts of the report and be able to automate the process of generating these reports.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509486/1 01/10/2016 31/03/2022
1791460 Studentship EP/N509486/1 01/10/2016 30/06/2020 Aydan Gasimova
 
Description Computer aided diagnostic system that can auto-generated radiological reports for chest x-ray images
Exploitation Route The system to auto-generate reports for chest X-ray images can be taken further and improved by, for instance, being used by radiologists as part of a validation study where they incorporate it into their work-flow and report error/issues on the fly so that the algorithm can be improved (as part of a manual adjustment process, or in an automated way whereby the model can continuously update when it is corrected by a radiologist).
Sectors Healthcare