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@@ -11,7 +11,7 @@ The Brain Hemorrhage Segmentation Dataset (BHSD) is a 3D multi-class segmentatio
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  ## Data Contents
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  This dataset includes the following two compressed files:
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  - **Brain Hemorrhage Segmentation Dataset.zip**: Contains 192 volumes with pixel-level annotations.
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- - **unlabel_2200.zip**: Contains 2200 volumes of unannotated reconstructed data.
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  ## Applications
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  This dataset is primarily intended to support the use of deep learning techniques in medical image segmentation tasks, particularly for multi-class segmentation of intracranial hemorrhages. It can be used for supervised and semi-supervised ICH segmentation tasks, and we provide experimental results with state-of-the-art models as reference benchmarks.
 
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  ## Data Contents
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  This dataset includes the following two compressed files:
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  - **Brain Hemorrhage Segmentation Dataset.zip**: Contains 192 volumes with pixel-level annotations.
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+ - **unlabel_2000.zip**: Contains 2000 volumes of unannotated reconstructed data.
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  ## Applications
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  This dataset is primarily intended to support the use of deep learning techniques in medical image segmentation tasks, particularly for multi-class segmentation of intracranial hemorrhages. It can be used for supervised and semi-supervised ICH segmentation tasks, and we provide experimental results with state-of-the-art models as reference benchmarks.