Kurdziel, Karen A, Apolo, Andrea B., Lindenberg, Liza, Mena, Esther, McKinney, Yolanda Y., Adler, Stephen S., ... Choyke, Peter L. (2015). Data From NaF PROSTATE [Dataset]. The Cancer Imaging Archive.
https://doi.org/10.7937/K9/TCIA.2015.ISOQTHKOTraining Data Attribution
Building on publicly available medical imaging research
All training cases in Absolutely Rad are derived from publicly available medical imaging datasets. We are deeply grateful to the researchers, institutions, and patients who contributed to these collections through The Cancer Imaging Archive (TCIA).
Dataset Citations
Yorke, A. A., McDonald, G. C., Solis, D., & Guerrero, T. (2019). Pelvic Reference Data (Version 1) [Data set]. The Cancer Imaging Archive.
https://doi.org/10.7937/TCIA.2019.WOSKQ5OOWee, L., Aerts, H., Kalendralis, P., & Dekker, A. (2020). RIDER Lung CT Segmentation Labels from: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach [Data set]. The Cancer Imaging Archive.
https://doi.org/10.7937/tcia.2020.jit9grk8Software & Libraries
Open Source Dependencies
Absolutely Rad is built using the following open-source libraries and tools. We are grateful to their maintainers and contributors.
NumPy — Fundamental package for numerical computing in Python. Used for DRR calculations and image processing operations.
License: BSD-3-Clause
https://github.com/numpy/numpyPillow — Python Imaging Library for image loading, manipulation, and post-processing operations.
License: HPND (PIL License)
https://github.com/python-pillow/PillowSimpleITK — Simplified interface to the Insight Toolkit (ITK) for medical image I/O, processing, and DRR generation from DICOM volumes.
License: Apache 2.0
https://github.com/SimpleITK/SimpleITKPyInstaller — Tool for bundling Python applications into standalone executables for Windows distribution.
License: GPL 2.0 with exception
https://github.com/pyinstaller/pyinstallerAbout TCIA
The Cancer Imaging Archive
The Cancer Imaging Archive (TCIA) is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The data are organized as "collections," typically defined by a common disease, research focus, or type of imaging modality.
Learn more at www.cancerimagingarchive.net