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Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
Research article (Radiation Oncology, 2022) · cited 16× · AI/ML
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
Summary
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network is a scholarly article[1].
Key Facts
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/pelvic-u-net-multi-label-semantic-segmentation-of-pelvic-organs-at-risk-for-radiation-therapy-anal-cancer-patients-using
MLA“Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pelvic-u-net-multi-label-semantic-segmentation-of-pelvic-organs-at-risk-for-radiation-therapy-anal-cancer-patients-using.
BibTeX@misc{4ortxyz_pelvic-u-net-multi-label-semantic-segmentation-of-pelvic-organs-at-risk-for-radiation-therapy-anal-cancer-patients-using_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network}}, year = {2026}, url = {https://4ort.xyz/entity/pelvic-u-net-multi-label-semantic-segmentation-of-pelvic-organs-at-risk-for-radiation-therapy-anal-cancer-patients-using}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network — https://4ort.xyz/entity/pelvic-u-net-multi-label-semantic-segmentation-of-pelvic-organs-at-risk-for-radiation-therapy-anal-cancer-patients-using (retrieved 2026-05-24)
