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资源简介：
unet brain extraction t2
应用场景：
创建时间：
2022-04-21
相关数据集
ACDC(Automated Cardiac Diagnosis Challenge)
自动心脏诊断挑战 (ACDC) 挑战的目标是：比较自动方法在将左心室心内膜和心外膜分割为舒张末期和收缩末期实例的右心室心内膜方面的性能；比较自动方法对五类检查（正常病例、心力衰竭伴梗死、扩张型心肌病、肥厚型心肌病、右心室异常）的分类性能。整个 ACDC 数据集是根据在第戎大学医院获得的真实临床检查创建的。获得的数据完全匿名，并根据第戎医院（法国）当地伦理委员会制定的规定进行处理。我们的数据集涵盖了
OpenXLab80
Correction: Harmonizing the pixel size in retrospective computed tomography radiomics studies
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Set of dummies MRI surface-based features to test MELD preprocessing pipeline
Set of dummies MRI surface-based features.Features are contained in hdf5 file and can be used to test the MELD pre-processing pipeline. More details can be found in the paper:Spitzer, Hannah,
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Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
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NIAID Data Ecosystem20
