SAFARI: Shape Analysis for AI-Reconstructed Images

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

Documentation:

Reference manual: SAFARI.pdf

Downloads:

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-release (x86_64): SAFARI_0.1.0.tgz, r-oldrel: SAFARI_0.1.0.tgz

Linking:

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