Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease diagnosis with their outstanding image classification performance. In spite of the outstanding results, the widespread adoption of these techniques in clinical practice is still taking place at a moderate pace. One of the major hindrance is that a trained Deep Neural Networks (DNN) model provides a prediction, but questions about why and how that prediction was made remain unanswered. This linkage is of utmost importance for the regulated healthcare domain to increase the trust in the automated diagnosis system by the practitioners, patients and other stakeholders. The application of deep learning for medical imaging has…

• AD
  Alzheimer's Disease Neuroimaging Initiative
• GC
  Glasgow Caledonian University

  Award: 10386
• GC
  Global Challenges Research Fund
• DA
  Defense Advanced Research Projects Agency
• OO
  Office of Defense Nuclear Nonproliferation