Data Acknowledgements

The various locally running AI tools make use of the following datasets

Data

  • Blaine Rister, Kaushik Shivakumar, Tomomi Nobashi and Daniel L. Rubin. (2019) CT-ORG: CT volumes with multiple organ segmentations [Dataset]. DOI: 10.7937/tcia.2019.tt7f4v7o
  • Heller, N., Sathianathen, N., Kalapara, A., Walczak, E., Moore, K., Kaluzniak, H., Rosenberg, J., Blake, P., Rengel, Z., Oestreich, M., Dean, J., Tradewell, M., Shah, A., Tejpaul, R., Edgerton, Z., Peterson, M., Raza, S., Regmi, S., Papanikolopoulos, N., Weight, C. (2019) Data from C4KC-KiTS [Data set]. The Cancer Imaging Archive. DOI: 10.7937/TCIA.2019.IX49E8NX
  • Jordan, P., Adamson, P. M., Bhattbhatt, V., Beriwal, S., Shen, S., Radermecker, O., Bose, S., Strain, L. S., Offe, M., Fraley, D., Principi, S., Ye, D. H., Wang, A. S., Van Heteren, J., Vo, N.-J., & Schmidt, T. G. (2021). Pediatric Chest/Abdomen/Pelvic CT Exams with Expert Organ Contours (Pediatric-CT-SEG) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.X0H0-1706

Publications

  • CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi and Daniel L. Rubin. https://arxiv.org/abs/1811.11226
  • The Liver Tumor Segmentation Benchmark (LiTS). Arxiv [1901.04056] https://arxiv.org/abs/1901.04056
  • Heller, N., Isensee, F., Maier - Hein, K.H., Hou, X., Xie, C., Li, F., Nan, Y., Mu, G., Lin, Z., Han, M., Yao, G., Gao, Y., Zhang, Y., Wang, Y., Hou, F., Yang, J., Xiong, G., Tian, J., Zhong, C., Weight, C. (2021). The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. Medical Image Analysis, 67, 101821. https://doi.org/10.1016/j.media.2020.101821
  • Jordan, P., Adamson, P.M., Bhattbhatt, V., Beriwal, S., Shen, S., Radermecker, O., Bose, S., Strain, L.S., Offe, M., Fraley, D., Principi, S., Ye, D.H., Wang, A.S., Van Heteren, J., Vo, N.-J. and Schmidt, T.G. (2022), Pediatric chest-abdomen-pelvis and abdomen-pelvis CT images with expert organ contours. Med. Phys.. Accepted Author Manuscript. https://doi.org/10.1002/mp.15485

TCIA Citations

  • Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating, a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045-1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7