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.
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