A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation.

Ruiyun ZhuMasahiro OdaYuichiro HayashiTakayuki KitasakaKazunari MisawaMichitaka FujiwaraKensaku Mori

Published in: International journal of computer assisted radiology and surgery (2022)

We present a skeleton context-aware 3D FCN to segment abdominal arteries from an abdominal CT volume. In addition, we propose a 3D patch generation method. Our fully automated method segmented most of the abdominal artery regions. The method produced competitive segmentation performance compared to previous methods.

Keyphrases

deep learning
convolutional neural network
computed tomography
machine learning
high throughput
magnetic resonance imaging
magnetic resonance
image quality
contrast enhanced
positron emission tomography
blood flow