Spectral decoupling for training transferable neural networks in medical imaging

Summary: Many neural networks for medical imaging generalize poorly to data unseen during training. Such behavior can be caused by overfitting easy-to-learn features while disregarding other potentially informative features. A recent implicit bias mitigation technique called spectral decoupling prov...

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Bibliografske podrobnosti

Principais autores:	Joona Pohjonen, Carolin Stürenberg, Antti Rannikko, Tuomas Mirtti, Esa Pitkänen
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2022-02-01
Serija:	iScience
Teme:	Medical tests Medical imaging Algorithms Artificial intelligence
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2589004222000372
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