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Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation
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DOI：10.1146/annurev-bioeng-060418-052147.png)
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Abstract
En 中文
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.
Keywords:
sparsity
dictionary learning
machine learning
image segmentation
medical image analysis
image representation
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