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ImageALCAPA-A-3D-Computed-Tomography-Image-Dataset-for-Automatic-Segmentation-of-ALCAPA

The ImageALCAPA dataset totally consists of 30 3D CTA images gathered from Guangdong Provincial Peoples’ Hospital from June 17, 2016, to August 8, 2021. These images are acquired by a SOMATOM Definition Flash CT machine.
All the images are pre-operative ALCAPA CTA images whose top and bottom are around the neck and the brachiocephalic vessels, respectively, in the axial view. The segmentation labeling is performed by a team of two cardiovascular radiologists who have extensive experience in ALCAPA. For each image, one radiologist fulfills the labelling while the other verifies it afterwards. The segmentation includes seven substructures: Myo, LV, RV, PA, Ao, LCA, and RCA, and the labelling of each image goes by 1-1.5 hours.

HIGHLIGHT 20231101: We have deployed the dataset on Kaggle! https://www.kaggle.com/xiaoweixumedicalai/datasets

Please send emails to xiao.wei.xu@foxmail.com for any questions.

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