Pulmonary Artery–Vein Classification
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Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation
2019-09-01 · Preprint 2019 9
· Zhiwei Zhai, Marius Staring, Xuhui Zhou, Qiuxia Xie 외
Graph Convolutional Networks (GCNs) are a novel and powerful method for dealing with non-Euclidean data, while Convolutional Neural Networks (CNNs) can learn features from Euclidean data such as images. In this work, we …
3D Medical Imaging SegmentationMedical Image SegmentationPulmonary Artery–Vein ClassificationPulmorary Vessel SegmentationPulmonary Artery–Vein Classification in CT Images Using Deep Learning
2018-05-04 · IEEE Transactions on Medical Imaging ( Volume: 37 , Issue: 11 , Nov. 2018 ) 2018 5
· Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Pelaez, George R. Washko 외
Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins through different physiologic mechanisms. To detect changes in the two vascular trees, physicians manually analyze the chest …
3D Medical Imaging SegmentationComputed Tomography (CT)Decision MakingDeep Learning+4