Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

Research article (Scientific Reports, 2021) · cited 49× · AI/ML
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Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

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Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation. Retrieved May 24, 2026, from https://4ort.xyz/entity/differentiation-of-recurrent-glioblastoma-from-radiation-necrosis-using-diffusion-radiomics-with-machine-learning-model-
MLA “Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/differentiation-of-recurrent-glioblastoma-from-radiation-necrosis-using-diffusion-radiomics-with-machine-learning-model-.
BibTeX @misc{4ortxyz_differentiation-of-recurrent-glioblastoma-from-radiation-necrosis-using-diffusion-radiomics-with-machine-learning-model-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation}}, year = {2026}, url = {https://4ort.xyz/entity/differentiation-of-recurrent-glioblastoma-from-radiation-necrosis-using-diffusion-radiomics-with-machine-learning-model-}, note = {Accessed: 2026-05-24}}
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