Improving the segmentation of scanning probe microscope images using convolutional neural networks

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Publication date
2020-09-01Creators
Farley, Steff
Hunsicker, Eugenie
Metadata
Show full item recordDescription
Training/Testing images and trained UNet model for the paper "Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks", Farley et al.
External URI
Subjects
- Scanning probe microscopy
- Image segmentation
- Neural networks (Computer science)
- Machine learning
- AFM, Machine Learning, Neural Networks, CNN, Image Processing
- Computer Sciences::Artificial intelligence::Machine learning, Automated reasoning
- Q Science::QH Natural history. Biology::QH201 Microscopy
Divisions
- University of Nottingham, UK Campus
- Other
Research institutes and centres
- University of Nottingham, UK Campus
Deposit date
2020-09-01Data type
CNN training data and trained networkContributors
- Hodgkinson, Jo
- Gordon, Oliver
- Turner, Joanna
- Soltoggio, Andrea
- Moriarty, Philip
Funders
- Other
- Engineering & Physical Sciences Research Council
- University of Loughborough
Grant number
- EP/N02379X/1
Data collection method
Asylum Research MFP-3D AFMResource languages
- en