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Provides functionality for image processing and shape analysis in the context of reconstructed medical images generated by deep learning-based methods or standard image processing algorithms and produced from different medical imaging types, such as X-ray, Computational Tomography (CT), Magnetic Resonance Imaging (MRI), and pathology imaging. Specifically, offers tools to segment regions of interest and to extract quantitative shape descriptors for applications in signal processing, statistical analysis and modeling, and machine learning.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | caTools, EBImage, graphics, lattice, png |
| Published: | 2021-02-25 |
| Author: | Esteban Fernandez Morales [aut, cre], Qiwei Li [aut] |
| Maintainer: | Esteban Fernandez Morales <esteban.fernandezmorales at utdallas.edu> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/estfernandez/SAFARI |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | SAFARI results |
| Reference manual: | SAFARI.pdf |
| Package source: | SAFARI_0.1.0.tar.gz |
| Windows binaries: | r-devel: SAFARI_0.1.0.zip, r-release: SAFARI_0.1.0.zip, r-oldrel: SAFARI_0.1.0.zip |
| macOS binaries: | r-release (arm64): SAFARI_0.1.0.tgz, r-oldrel (arm64): SAFARI_0.1.0.tgz, r-release (x86_64): SAFARI_0.1.0.tgz, r-oldrel (x86_64): SAFARI_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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