SKM-TEA

该数据集名为SKM-TEA，包含了来自患者膝关节MRI扫描的DICOM图像，不仅提供了原始的定量数据，还配有了丰富的组织密集标注。该数据集涵盖了155名患者，其中训练集包含20,640个切片，评估集包含4,160个切片，允许对膝关节MRI数据进行全面分析，并增强了模型的重建能力。其任务主要集中在MRI重建方面。

This dataset, named SKM-TEA, consists of DICOM images acquired from knee MRI scans of patients. It provides not only raw quantitative data but also comprehensive dense tissue annotations. The dataset includes data from 155 patients, with 20,640 slices in the training subset and 4,160 slices in the evaluation subset. It supports comprehensive analysis of knee MRI data and enhances the reconstruction capabilities of models, with its primary tasks focused on MRI reconstruction.

搜集汇总

背景与挑战

背景概述

SKM-TEA数据集是一个包含膝关节MRI原始定量数据、图像数据和密集标签的数据集，旨在支持MR成像流程的端到端探索和评估。该数据集由斯坦福大学MIMI实验室开发，提供了训练和评估模型所需的工具和基线。