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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書誌詳細

出版年:	IET Image Processing
主要な著者:	Ziming Yin, Hongyu Gao, Jinchang Gong, Yuanjun Wang
フォーマット:	論文
言語:	英語
出版事項:	Wiley 2023-09-01
主題:	brain gliomas ConvNeXt deep learning MRI U‐Net
オンライン･アクセス:	https://doi.org/10.1049/ipr2.12860