WD‐UNeXt: Weight loss function and dropout U‐Net with ConvNeXt for automatic segmentation of few shot brain gliomas

WD‐UNeXt: Weight loss function and dropout U‐Net with ConvNeXt for automatic segmentation of few shot brain gliomas

Abstract Accurate segmentation of brain gliomas (BG) is a crucial and challenging task for effective treatment planning in BG therapy. This study presents the weight loss function and dropout U‐Net with ConvNeXt block (WD‐UNeXt), which precisely segments BG from few shot MRI. The ConvNeXt block, whi...

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Bibliographic Details
Main Authors: Ziming Yin, Hongyu Gao, Jinchang Gong, Yuanjun Wang
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:IET Image Processing
Subjects:
brain gliomas
ConvNeXt
deep learning
MRI
U‐Net
Online Access:https://doi.org/10.1049/ipr2.12860

Internet

https://doi.org/10.1049/ipr2.12860

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