The Left Atrium2018 dataset was used in the 2018 Left Atrium Segmentation Challenge and has the following characteristics:

Data Content

Image Type: It consists of 154 three-dimensional gadolinium-enhanced magnetic resonance imaging (LGE-MRI) images, which is currently the largest cardiac LGE-MRI dataset in the world.

Label Information: It contains the relevant labels of the left atrium segmented by three medical experts.

Application Fields

DOI Link: 
10.21227/5y8c-wf96
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Dataset Files

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Documentation: 
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File 数据集.pdf33.89 KB
[1] Hengfan Li, "Left Atrium 2018", IEEE Dataport, 2025. [Online]. Available: http://dx.doi.org/10.21227/5y8c-wf96. Accessed: Mar. 27, 2025.
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doi = {10.21227/5y8c-wf96},
url = {http://dx.doi.org/10.21227/5y8c-wf96},
author = {Hengfan Li },
publisher = {IEEE Dataport},
title = {Left Atrium 2018},
year = {2025} }
TY - DATA
T1 - Left Atrium 2018
AU - Hengfan Li
PY - 2025
PB - IEEE Dataport
UR - 10.21227/5y8c-wf96
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Hengfan Li. (2025). Left Atrium 2018. IEEE Dataport. http://dx.doi.org/10.21227/5y8c-wf96
Hengfan Li, 2025. Left Atrium 2018. Available at: http://dx.doi.org/10.21227/5y8c-wf96.
Hengfan Li. (2025). "Left Atrium 2018." Web.
1. Hengfan Li. Left Atrium 2018 [Internet]. IEEE Dataport; 2025. Available from : http://dx.doi.org/10.21227/5y8c-wf96
Hengfan Li. "Left Atrium 2018." doi: 10.21227/5y8c-wf96