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医学图像分割:自动心脏诊断挑战赛项目数据集(ACDC)_acdc dataset

acdc dataset

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

Krishna Chaitanya, Ertunc Erdil, Neerav Karani, and Ender Konukoglu
(a) ACDC Dataset: It contains 100 short-axis MR-cine T1 3D volumes of cardiac anatomy acquired using 1.5T and 3T scanners. The expert annotations are provided for three structures: right ventricle, myocardium, and left ventricle. It was hosted as part of the MICCAI ACDC challenge 2017.

ACDC数据集

 

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