Gast ::
| Hauptseite > Publikationsdatenbank > Explainable AI in Medical Image Analysis |
| Hauptseite > Publikationsdatenbank > Explainable AI in Medical Image Analysis |
| Lecture (Other) | FZJ-2024-06207 |
;
2024
Abstract: The use of Artificial Intelligence (AI) in the medical domain is of high interest. AI could facilitate the work of physicians and guide them in their clinical decision-making. However, many AI-based methods are still a black box and hardly understood. As every patient has the right to an explainable diagnosis, it is important to understand and explain the processes and reasons behind the decisions of Convolutional Neural Networks (CNNs). In this workshop, we will explain the different applications of AI and Explainable AI in medical image analysis. The participants will learn about the different Explainable AI methods, their limitations, and how they could be included in a clinical workflow. Some Explainable AI methods will be applied to examples.
|
The record appears in these collections: |