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LMUK-RADONC-PHYS-RES/TrackRAD2025

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Hugging Face2025-03-28 更新2025-04-12 收录
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https://hf-mirror.com/datasets/LMUK-RADONC-PHYS-RES/TrackRAD2025
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资源简介:
TrackRAD2025挑战提供了超过280万张未标记的矢状位动态MRI帧,来自477名患者的治疗过程中,以及超过1万张标记的矢状位动态MRI帧(其中8000张来自多观察者标记的帧),来自108名患者。为参与者准备了477名未标记和108名手动标记的患者队列。每位患者的2D矢状位动态MRI数据(时间分辨率的2D图像序列)是在0.35 T(ViewRay MRIdian)或1.5 T(Elekta Unity)MRI-linacs治疗过程中从六个国际中心获得的。跟踪目标(通常是肿瘤)在胸、腹和骨盆区域,因为这些区域可能会受到运动影响,并且是最常在MRI-linacs治疗的解剖结构。训练集包括477个未标记案例和50个标记案例,已公开释放。参与者可以将这个数据集本地进一步细分为训练集和验证集。剩余的58个标记案例构成初步和最终测试集,仅通过提交到挑战以供评估。挑战结束后几年,测试集数据也将上传到与训练集相同的位置。

The TrackRAD2025 challenge provides over 2.8 million unlabeled sagittal cine-MRI frames from 477 individual patients, and over 10,000 labeled sagittal cine-MRI frames (+8000 from frames with multiple observers) from 108 individual patients. A cohort of 477 unlabeled and 108 manually labeled patients has been prepared for participants. For each patient, 2D sagittal cine MRI data (time-resolved sequence of 2D images) has been acquired during the course of radiotherapy treatments at 0.35 T (ViewRay MRIdian) or 1.5 T (Elekta Unity) MRI-linacs from six international centers. Tracking targets (typically tumors) in the thorax, abdomen, and pelvis were included as these can be affected by motion and reflect the most often treated anatomies on MRI-linacs. The training set, which comprises the 477 unlabeled cases plus 50 labeled cases, was publicly released. Participants can further subdivide this dataset locally into training and validation. The remaining 58 labeled cases building the preliminary and final testing set is only accessible for evaluation via submission to the challenge. A couple of years after the challenge is closed, the testing set data is also going to be uploaded to the same location as the training set.
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LMUK-RADONC-PHYS-RES
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