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资源简介：
Stores public data for segmentation
应用场景：
创建时间：
2025-05-12
相关数据集
Data_Sheet_1_Learning Cortical Parcellations Using Graph Neural Networks.pdf
Deep learning has been applied to magnetic resonance imaging (MRI) for a variety of purposes, ranging from the acceleration of image acquisition and image denoising to tissue segmentation and disease
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HOA-2/SubcorticalParcellations: release-50-subjects-v0.9.9
Harvard-Oxford Atlas 2.0 Subcortical parcellations of Human Connectome Project (HCP) subjects
Zenodo2023-05-18 更新20
Labels of 108 subcortical structures for brain5 (NIfTI format)
Resulting atlas from the atlas-to-template warping technique performed registering the histologically-derived atlas to each of the 5 MRI templates using the ANIMAL_script code, delineating 108 subcort
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Table_1_Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation.DOCX
Fetal magnetic resonance imaging (MRI) has the potential to advance our understanding of human brain development by providing quantitative information of cortical plate (CP) development in vivo. Howev
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