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Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images
Shuhui Yin, Ming Tien,
Haw Yang
Chemistry
Research output
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Article
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peer-review
3
Scopus citations
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Dive into the research topics of 'Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images'. Together they form a unique fingerprint.
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Keyphrases
Curvilinear Features
100%
Feature Samples
33%
True Curve
33%
Statistical Bounds
33%
Curvilinear Elements
33%
Curvilinear Structures
33%
User Supervision
33%
Localization Precision
33%
Bootstrap Confidence Interval
33%
Earth and Planetary Sciences
Confidence Interval
100%
Seeding
100%
Laser Scanning
100%
Chemistry
Scanning Electron Microscopy
100%
Fluorescence Microscopy
100%
Scanning Probe Microscopy
100%
Neuroscience
Microtubule
100%
Scanning Electron Microscopy
100%
Physics
Nanoscale
100%
Engineering
Subimages
50%