Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 22(2020)
摘要
Sparsity is a powerful concept to exploit for high-dimensional machine learning and associated representational and computational efficiency. Sparsity is well suited for medical image segmentation. We present a selection of techniques that incorporate sparsity, including strategies based on dictionary learning and deep learning, that are aimed at medical image segmentation and related quantification.
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关键词
sparsity, dictionary learning, machine learning, image segmentation, medical image analysis, image representation
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