Failure to Achieve Domain Invariance With Domain Generalization Algorithms: An Analysis in Medical Imaging

Failure to Achieve Domain Invariance With Domain Generalization Algorithms: An Analysis in Medical Imaging

One prominent issue in the application of deep learning is the failure to generalize to data that lies on a different distribution to the training data. While many methods have been proposed to address this, prior work has shown that when operating under the same conditions most algorithms perform a...

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Bibliographic Details
Main Authors: Steven Korevaar, Ruwan Tennakoon, Alireza Bab-Hadiashar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
domain generalization
medical image classification
natural image classification
model analysis
domain invariant representations
Online Access:https://ieeexplore.ieee.org/document/10105917/

Internet

https://ieeexplore.ieee.org/document/10105917/

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