Segmentation of Aorta 3D CT Images Based on 2D Convolutional Neural Networks
Segmentation of Aorta 3D CT Images Based on 2D Convolutional Neural Networks
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The automatic segmentation of the aorta can be extremely useful in clinical practice, allowing the diagnosis of numerous pathologies to be sped up, such as aneurysms and dissections, and allowing rapid reconstructive surgery, essential in saving patients’ lives. In recent years, the success of Deep Learning (DL)-based decision support systems has i...
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Segmentation of Aorta 3D CT Images Based on 2D Convolutional Neural Networks
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TN_cdi_proquest_journals_2584350787
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2584350787
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10202559
