Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
Summary
Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models is a scholarly article[1].
Key Facts
Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models. Retrieved May 24, 2026, from https://4ort.xyz/entity/auto-segmentation-of-pelvic-organs-at-risk-on-0-35t-mri-using-2d-and-3d-generative-adversarial-network-models
MLA“Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/auto-segmentation-of-pelvic-organs-at-risk-on-0-35t-mri-using-2d-and-3d-generative-adversarial-network-models.
BibTeX@misc{4ortxyz_auto-segmentation-of-pelvic-organs-at-risk-on-0-35t-mri-using-2d-and-3d-generative-adversarial-network-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models}}, year = {2026}, url = {https://4ort.xyz/entity/auto-segmentation-of-pelvic-organs-at-risk-on-0-35t-mri-using-2d-and-3d-generative-adversarial-network-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models — https://4ort.xyz/entity/auto-segmentation-of-pelvic-organs-at-risk-on-0-35t-mri-using-2d-and-3d-generative-adversarial-network-models (retrieved 2026-05-24)
