Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network
Summary
Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network is a scholarly article[1].
Key Facts
Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-of-the-gross-target-volume-in-radiotherapy-for-lung-cancer-using-transresseunet-2-5d-network
MLA“Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-of-the-gross-target-volume-in-radiotherapy-for-lung-cancer-using-transresseunet-2-5d-network.
BibTeX@misc{4ortxyz_automatic-segmentation-of-the-gross-target-volume-in-radiotherapy-for-lung-cancer-using-transresseunet-2-5d-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-of-the-gross-target-volume-in-radiotherapy-for-lung-cancer-using-transresseunet-2-5d-network}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation of the gross target volume in radiotherapy for lung cancer using transresSEUnet 2.5D Network — https://4ort.xyz/entity/automatic-segmentation-of-the-gross-target-volume-in-radiotherapy-for-lung-cancer-using-transresseunet-2-5d-network (retrieved 2026-05-24)
