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IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation
Research article (European Journal of Radiology, 2020) · cited 33× · AI/ML
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation
Summary
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation is a scholarly article[1].
Key Facts
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/idh1-mutation-prediction-using-mr-based-radiomics-in-glioblastoma-comparison-between-manual-and-fully-automated-deep-lea
MLA“IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/idh1-mutation-prediction-using-mr-based-radiomics-in-glioblastoma-comparison-between-manual-and-fully-automated-deep-lea.
BibTeX@misc{4ortxyz_idh1-mutation-prediction-using-mr-based-radiomics-in-glioblastoma-comparison-between-manual-and-fully-automated-deep-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/idh1-mutation-prediction-using-mr-based-radiomics-in-glioblastoma-comparison-between-manual-and-fully-automated-deep-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation — https://4ort.xyz/entity/idh1-mutation-prediction-using-mr-based-radiomics-in-glioblastoma-comparison-between-manual-and-fully-automated-deep-lea (retrieved 2026-05-24)
