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Jan, 2021
VoxelHop:结构磁共振成像下基于连续子空间学习的ALS疾病分类
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
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Xiaofeng Liu, Fangxu Xing, Chao Yang, C. -C. Jay Kuo, Suma Babu...
TL;DR
我们提出了一个逐步子空间学习模型,叫做VoxelHop,用于使用T2加权结构MRI数据准确分类ALS,该模型具有透明的结构,与少量数据和3D成像数据相适应,并且在验证中表现出其优越性和有效性。
Abstract
deep learning
has great potential for accurate detection and
classification
of diseases with
medical imaging
data, but the performance is
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