Simcol3D - 3D Reconstruction during Colonoscopy Challenge Dataset

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. <br> 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. <br> 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. <br> The synthetic colonoscopy data is made available in this repository.

结直肠癌（Colorectal cancer）是全球最常见的癌症之一。通过构建基准测试集，SimCol3D旨在为结肠镜检查流程提供数据驱动的导航辅助。更多关于该挑战赛及对应数据的细节，可查阅arXiv平台上的挑战赛论文。
本次挑战赛包含模拟结肠镜检查数据与真实患者影像。本数据集发布仅涵盖挑战赛中的合成数据部分。该合成数据源自三例基于真实人体CT扫描构建的不同结肠解剖结构。每一例解剖结构均提供若干随机生成的检查轨迹，附带RGB渲染图像、相机内参、真实深度真值以及真实位姿真值。本数据集总计包含超过37000张标注图像。
SimCol3D挑战赛所使用的真实结肠镜检查数据，提取自EndoMapper数据集。该真实数据可在EndoMapper Synapse页面获取。
本仓库现已发布合成结肠镜检查数据集。