*.mat *.h5

Left Atrium 2018

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

Categories:
Artificial Intelligence
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Field II Ultrasound Anechoic Lesion Channel Data Validation Set for 3DCNN Evaluation

This is a supplementary data file, providing the data used to evaluate the performance of our 3D fully convolutional neural network. This network removes reverberation noise from ultrasound channel data. This dataset is simulated ultrasound channel data, simulated in Field II Pro, and has artificial reverberation and thermal noise added. This dataset will be linked to our publication, once it is accepted. 

Categories:
Artificial Intelligence
Medical Imaging
466 Views