SAT-DS Large-Scale 3D Medical Image Segmentation Dataset

This dataset is the largest 3D medical image segmentation dataset currently built by the Shanghai Jiao Tong University team in 2024. It brings together 72 public datasets, 22K+ images from three modalities of CT, MR and PET, 302K+ segmentation annotations, covering 497 segmentation targets in 8 major parts of the human body, and realizing a universal medical segmentation model for radiological images through text prompts.
Related research is based onOne Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts" was published on the academic platform arXiv.org.