Deep-learning approach to automate the segmentation of aorta in non-contrast CTs.

Qixiang Ma,Antoine Lucas, Houda Hammami,Huazhong Shu,Adrien Kaladji,Pascal Haigron

Journal of medical imaging (Bellingham, Wash.)（2023）

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Abstract

The analysis indicates that our methods yield a competitive performance by overcoming the above-mentioned problems in most general cases. Further, experiments on our non-contrast CTs demonstrate the superiority of the proposed methods, especially in low-contrast, similar-shaped, and extreme-sized cases.

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Key words

abdominal aortic aneurysm,convolutional neural network,feature fusing,non-contrast enhanced computed tomographies,segmentation

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