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.jit9grk8About 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