Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks
Summary
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks is a scholarly article[1].
Key Facts
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-detection-and-segmentation-of-thoracic-lymph-nodes-from-ct-using-3d-foveal-fully-convolutional-neural-networks
MLA“Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-detection-and-segmentation-of-thoracic-lymph-nodes-from-ct-using-3d-foveal-fully-convolutional-neural-networks.
BibTeX@misc{4ortxyz_automated-detection-and-segmentation-of-thoracic-lymph-nodes-from-ct-using-3d-foveal-fully-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/automated-detection-and-segmentation-of-thoracic-lymph-nodes-from-ct-using-3d-foveal-fully-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks — https://4ort.xyz/entity/automated-detection-and-segmentation-of-thoracic-lymph-nodes-from-ct-using-3d-foveal-fully-convolutional-neural-networks (retrieved 2026-05-24)