Published: 05 Feb 2021 1,139 views
The PhD research will explore the important topics of investigating machine learning solutions to improve the entire medical imaging workflow. Particularly, the research project will focus on equipping deep neural networks with the ability of knowing what they do not know and quantifying their risk of failures, i.e. quantification of uncertainty/confidence and explanation of its source.
Aim of the Project: The aim of the research is to allow better understanding of deep learning models and their predictions via uncertainty quantification, and also to enable a more robust and reliable medical imaging workflow for safer diagnosis and treatment.
From Nobel laureates and Olympic champions to space explorers and prime ministers, the University of Edinburgh has been influencing history since it opened the gates to its first students in 1583. Following the Scottish Enlightenment of the 18th century, the University was positioned at the forefront of academia and critical thinking. Due to the determination and perseverance of a group of Edinburgh intellectuals, established facts about the world were being boldly and consistently challenged. Amid this group was David Hume, philosopher, economist and essayist known for his philosophi... continue reading
Application Deadline | 01 Jan 1970 |
Country to study | United Kingdom |
School to study | University of Edinburgh |
Type | PhD |
Course to study | View courses |
Sponsor | University of Edinburgh |
Gender | Men and Women |