Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults
Summary
Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults is a scholarly article[1].
Key Facts
Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-automatic-segmentation-of-the-thoracic-aorta-from-chest-computed-tomography-in-healthy-korean-adults
MLA“Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-automatic-segmentation-of-the-thoracic-aorta-from-chest-computed-tomography-in-healthy-korean-adults.
BibTeX@misc{4ortxyz_deep-learning-based-automatic-segmentation-of-the-thoracic-aorta-from-chest-computed-tomography-in-healthy-korean-adults_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-automatic-segmentation-of-the-thoracic-aorta-from-chest-computed-tomography-in-healthy-korean-adults}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults — https://4ort.xyz/entity/deep-learning-based-automatic-segmentation-of-the-thoracic-aorta-from-chest-computed-tomography-in-healthy-korean-adults (retrieved 2026-05-24)
