#8414. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images

September 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript4500 $

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Journal’s subject area:
Medicine (miscellaneous);
Artificial Intelligence;
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Abstract:
This paper applies a hybrid 3D-2D CNN approach for the segmentation of coronary arteries from computed tomography (CT) images. A 2D CNN can extract large-field-of-view information, to segment the coronary arteries simultaneously in a slice-by-slice fashion. A 3D CNN is applied to extract the inter-slice information to refine the segmentation of the coronary arteries in certain subregions not resolved well in the first stage.
Keywords:
2D and 3D network fusion; Convolutional neural networks; Human aorta and coronary arteries segmentation; Medical images

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