Dataset Summary We present PanTS (The Pancreatic Tumor Segmentation Dataset) recently created by JHU. It is a large scale, multi institutional dataset, containing 36,390 three dimensional CT volumes from 145 medical centers, with expert validated, voxel wise annotations of over 993,000 anatomical structures, covering pancreatic tumors, pancreas head, body, and tail, and 24 surrounding anatomical structures such as vascular/skeletal structures and abdominal/thoracic organs. As the largest and most comprehensive resource of its kind, PanTS offers a new benchmark for developing and evaluating AI models in pancreatic CT analysis. This repository presents our training, PanTS tr (n=9,000), and in distribution testing images, PanTS te (n=901). Paper PanTS: The Pancreatic Tumor Segmentation Dataset Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R.A.S. Bassi,..., Alan Yuille, Zongwei Zhou ★ Johns Hopkins University Downloading Instructions Citation Acknowledgements This work was supported by the Lustgarten Foundation for Pancreatic Cancer Research, the Patrick J. McGovern Foundation Award, and the National Institutes of Health (NIH) under Award Number R01EB037669. We would like to thank…
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