Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival

Research article (Acta Neurochirurgica, 2020) · cited 22× · AI/ML
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Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival

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Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival is a scholarly article[1].

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  • Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-glioblastoma-segmentation-using-preoperative-magnetic-resonance-imaging-identifies-volumetric-features
MLA “Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-glioblastoma-segmentation-using-preoperative-magnetic-resonance-imaging-identifies-volumetric-features.
BibTeX @misc{4ortxyz_deep-learning-for-glioblastoma-segmentation-using-preoperative-magnetic-resonance-imaging-identifies-volumetric-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-glioblastoma-segmentation-using-preoperative-magnetic-resonance-imaging-identifies-volumetric-features}, note = {Accessed: 2026-05-24}}
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