Development of Automated Medical Diagnosis via Virtual Imaging and Machine Learning at …

Have you ever considered applying your knowledge of maths, science and engineering to the medical imaging of blood flow in the heart and arteries? Are you interested in doing research that can have a real impact on people’s lives? Does the idea of working across multiple disciplines and as part of international collaborations appeal to you? With this project you could help cardiologists utilise machine learning algorithms to improve and automate the diagnosis of heart disease.Contrast enhanced magnetic resonance (MR) perfusion imaging is a promising diagnostic tool for the early detection of coronary heart disease, however, it requires huge expertise on the part of the clinician. A machine learning based automatic diagnosis technique would therefore enable this technique to be more widely deployed. This project will use computational models of…


Link to Full Article: Development of Automated Medical Diagnosis via Virtual Imaging and Machine Learning at …

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