2026-08-11T22:39:15Z https://api.figshare.com/v2/oai
oai:figshare.com:article/24077763 2023-09-07T11:02:36Z category_28879 category_28891 category_28846 category_29161 category_28930 portal_549 item_type_3 month_year_09_2023
10.5522/04/24077763.v1 https://figshare.com/articles/dataset/Simcol3D_-_3D_Reconstruction_during_Colonoscopy_Challenge_Dataset/24077763 https://ndownloader.figshare.com/files/42248457 https://ndownloader.figshare.com/files/42248541 https://ndownloader.figshare.com/files/42270570 https://ndownloader.figshare.com/files/42270579 https://ndownloader.figshare.com/files/42270582 https://arxiv.org/abs/2204.04968 10.48550/arXiv.2307.11261 Rau, Anita Anita Rau Bano, Sophia Sophia Bano Jin, Yueming Yueming Jin Stoyanov, Danail Danail Stoyanov <![CDATA[Simcol3D - 3D Reconstruction during Colonoscopy Challenge Dataset]]> Computer vision Pattern recognition Modelling and simulation Deep learning Data engineering and data science computer-assisted interventions Surgical data science 3D reconstruction, Depth prediction Camera pose estimation navigation Colonoscopy screening 2023-09-07 2023-09-07 Dataset 2023 University College London Colorectal cancer is one of the most common cancers in the world. By establishing a benchmark, SimCol3D aimed to facilitate data-driven navigation during colonoscopy. More details about the challenge and corresponding data can be found in the challenge paper on arXiv. 


The challenge consisted of simulated colonoscopy data and images from real patients. This data release encompasses the synthetic portion of the challenge. The synthetic data includes three different anatomies derived from real human CT scans. Each anatomy provides several randomly generated trajectories with RGB renderings, camera intrinsics, ground truth depths, and ground truth poses. In total, this dataset includes more than 37,000 labelled images. 


The real colonoscopy data used in the SimCol3D challenge consists of images extracted from the EndoMapper dataset. The real data is available on the EndoMapper Synapse page. 


The synthetic colonoscopy data is made available in this repository. 

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