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Experience seamless visualization of DICOM medical images with our DICOM Viewer with Volume Rendering. Powered by VTK and PyQt, this application offers surface and ray casting rendering options, allowing users to load DICOM files and fine-tune rendering parameters for precise analysis.
The Cancer Radiomic and Perfusion Imaging (CARPI) automated framework is a Python-based software for radiomic and perfusion feature extraction developed by the ABASTI laboratory at MD Anderson Cancer Center.