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Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model
Research article (Frontiers in Oncology, 2022) · cited 14× · AI/ML
Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model
Summary
Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model is a scholarly article[1].
Key Facts
Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-local-persistence-recurrence-after-radiation-therapy-for-head-and-neck-cancer-from-pet-ct-using-a-multi-objec
MLA“Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-local-persistence-recurrence-after-radiation-therapy-for-head-and-neck-cancer-from-pet-ct-using-a-multi-objec.
BibTeX@misc{4ortxyz_predicting-local-persistence-recurrence-after-radiation-therapy-for-head-and-neck-cancer-from-pet-ct-using-a-multi-objec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-local-persistence-recurrence-after-radiation-therapy-for-head-and-neck-cancer-from-pet-ct-using-a-multi-objec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model — https://4ort.xyz/entity/predicting-local-persistence-recurrence-after-radiation-therapy-for-head-and-neck-cancer-from-pet-ct-using-a-multi-objec (retrieved 2026-05-24)
