Name: Why Domain Knowledge is Crucial for ML-based Medical Image Analysis
Start: 2021-04-22T19:00:00+02:00
End: 2021-04-22T21:00:00+02:00

We are happy to host Lena Maier-Hein from DKFZ as a joint event with Heidelberg AI (https://heidelberg.ai/)! This will be an online event, you can join the live stream at this link:

https://us02web.zoom.us/j/5824790176

Abstract:
The breakthrough successes of deep learning-based solutions in various fields of research and practice have attracted a growing number of researchers to work in the field of medical image analysis. However, due to the increasing number of publicly available data sets, domain knowledge and/or close collaboration with domain experts is no longer an essential prerequisite. To demonstrate the potentially severe consequences of this recent development, this talk will highlight the importance of domain knowledge for various steps within the development process: from the selection of training/test data in the presence of possible confounders, to the choice of appropriate validation metrics and the interpretation of algorithm results.

For more info go to:
https://heidelberg.ai/2021/04/22/lena-maier-hein.html

Torsten

Jörg Franke

David Hübner

Paul Jaeger

freiburg.ai

Technology

Artificial Intelligence

New Technology

Big Data

Data Analytics

Data Visualization

Machine Learning

Deep Learning

Why Domain Knowledge is Crucial for ML-based Medical Image Analysis

Online event

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Why Domain Knowledge is Crucial for ML-based Medical Image Analysis

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