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Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
Research article (Oncotarget, 2017) · cited 123× · AI/ML
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
Summary
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners is a scholarly article[1].
Key Facts
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-differe
MLA“Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-differe.
BibTeX@misc{4ortxyz_prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-differe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-differe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners — https://4ort.xyz/entity/prediction-of-cervical-cancer-recurrence-using-textural-features-extracted-from-18f-fdg-pet-images-acquired-with-differe (retrieved 2026-05-24)
