Home ›
Entities
› academia
› Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer
Research article (European Radiology, 2019) · cited 103× · AI/ML
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer
Summary
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer is a scholarly article[1].
Key Facts
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-fully-automated-tumor-segmentation-and-extraction-of-magnetic-resonance-radiomics-features-in-cervical
MLA“Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-fully-automated-tumor-segmentation-and-extraction-of-magnetic-resonance-radiomics-features-in-cervical.
BibTeX@misc{4ortxyz_deep-learning-for-fully-automated-tumor-segmentation-and-extraction-of-magnetic-resonance-radiomics-features-in-cervical_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-fully-automated-tumor-segmentation-and-extraction-of-magnetic-resonance-radiomics-features-in-cervical}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer — https://4ort.xyz/entity/deep-learning-for-fully-automated-tumor-segmentation-and-extraction-of-magnetic-resonance-radiomics-features-in-cervical (retrieved 2026-05-24)