Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI

Deep learning (DL) methods for white matter lesion (WML) segmentation in MRI suffer a reduction in performance when applied on data from a scanner or centre that is out-of-distribution (OOD) from the training data. This is critical for translation and widescale adoption, since current models cannot...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Ghazvanchahi, Abdollah, Maralani, Pejman Jahbedar, Moody, Alan R, Khademi, April
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Image segmentation Magnetic resonance imaging Performance evaluation Standardization Training
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