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Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma
Research article (European Radiology, 2020) · cited 40× · AI/ML
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma
Summary
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma is a scholarly article[1].
Key Facts
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma. Retrieved May 24, 2026, from https://4ort.xyz/entity/diffusion-and-perfusion-mri-radiomics-obtained-from-deep-learning-segmentation-provides-reproducible-and-comparable-diag
MLA“Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diffusion-and-perfusion-mri-radiomics-obtained-from-deep-learning-segmentation-provides-reproducible-and-comparable-diag.
BibTeX@misc{4ortxyz_diffusion-and-perfusion-mri-radiomics-obtained-from-deep-learning-segmentation-provides-reproducible-and-comparable-diag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma}}, year = {2026}, url = {https://4ort.xyz/entity/diffusion-and-perfusion-mri-radiomics-obtained-from-deep-learning-segmentation-provides-reproducible-and-comparable-diag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma — https://4ort.xyz/entity/diffusion-and-perfusion-mri-radiomics-obtained-from-deep-learning-segmentation-provides-reproducible-and-comparable-diag (retrieved 2026-05-24)