Thanks to the incredible work of the software developers at Kitware, I am now able to provide cinematic rendering in ScanXm. The same level of realism as Siemens, but entirely free! Just click on the cinematic rendering checkbox in the View panel, and you're off.
Download ScanXm at https://scanxm.com/
The volume you see here was upsampled using the Split CT slices AI tool to further enhance the rendering quality.
Data Citation: 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
Publication Citation: Rister, B., Yi, D., Shivakumar, K., Nobashi, T., & Rubin, D.L. CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. https://arxiv.org/abs/1811.11226
Publication Citation: Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., … Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS) https://arxiv.org/abs/1901.04056, https://doi.org/10.1016/j.media.2022.102680
TCIA Citation: Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
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