Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images
Summary
Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images is a scholarly article[1].
Key Facts
Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-convolutional-neural-network-for-segmentation-of-thoracic-organsatrisk-using-cropped-3d-images
MLA“Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-convolutional-neural-network-for-segmentation-of-thoracic-organsatrisk-using-cropped-3d-images.
BibTeX@misc{4ortxyz_deep-convolutional-neural-network-for-segmentation-of-thoracic-organsatrisk-using-cropped-3d-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images}}, year = {2026}, url = {https://4ort.xyz/entity/deep-convolutional-neural-network-for-segmentation-of-thoracic-organsatrisk-using-cropped-3d-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images — https://4ort.xyz/entity/deep-convolutional-neural-network-for-segmentation-of-thoracic-organsatrisk-using-cropped-3d-images (retrieved 2026-05-24)
