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SAS-SemiUNet++: A Stochastic Consistency Regularized Framework with Scale-Aware Semantic Recalibration for Cardiac MRI Segmentation.

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Title: SAS-SemiUNet++: A Stochastic Consistency Regularized Framework with Scale-Aware Semantic Recalibration for Cardiac MRI Segmentation.
Authors: Rao, Jie1, Ma, Xinhao2, Li, Xiang1, lixiang@cug.edu.cn
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 7, p3507, 18p
Database: Applied Science & Technology Source
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  Data: SAS-SemiUNet++: A Stochastic Consistency Regularized Framework with Scale-Aware Semantic Recalibration for Cardiac MRI Segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Rao%2C+Jie%22">Rao, Jie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ma%2C+Xinhao%22">Ma, Xinhao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xiang%22">Li, Xiang</searchLink><relatesTo>1</relatesTo>, <i>lixiang@cug.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Apr2026, Vol. 16 Issue 7, p3507, 18p
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        Value: 10.3390/app16073507
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      – Code: eng
        Text: English
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        StartPage: 3507
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      – TitleFull: SAS-SemiUNet++: A Stochastic Consistency Regularized Framework with Scale-Aware Semantic Recalibration for Cardiac MRI Segmentation.
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            NameFull: Rao, Jie
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            NameFull: Ma, Xinhao
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            NameFull: Li, Xiang
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              Text: Apr2026
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              Y: 2026
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