Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks
Summary
Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks is a scholarly article[1].
Key Facts
Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-of-organs-at-risk-in-thoracic-ct-scans-by-combining-2d-and-3d-convolutional-neural-networks
MLA“Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-of-organs-at-risk-in-thoracic-ct-scans-by-combining-2d-and-3d-convolutional-neural-networks.
BibTeX@misc{4ortxyz_automatic-segmentation-of-organs-at-risk-in-thoracic-ct-scans-by-combining-2d-and-3d-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-of-organs-at-risk-in-thoracic-ct-scans-by-combining-2d-and-3d-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks — https://4ort.xyz/entity/automatic-segmentation-of-organs-at-risk-in-thoracic-ct-scans-by-combining-2d-and-3d-convolutional-neural-networks (retrieved 2026-05-24)
