期刊
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 22
卷 22, 期 -, 页码 127-153出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-bioeng-060418-052147
关键词
sparsity; dictionary learning; machine learning; image segmentation; medical image analysis; image representation
资金
- National Institutes of Health [R41CA224888, R01HL121226, R01CA206180]
- EPSRC [EP/P001009/1] Funding Source: UKRI
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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