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Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images
Research article (Diagnostics, 2021) · cited 19× · AI/ML
Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images
Summary
Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images is a scholarly article[1].
Key Facts
Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images'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). Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-local-response-of-esophageal-squamous-cell-carcinoma-to-neoadjuvant-chemoradiotherapy-by-radiomics-with-a
MLA“Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-local-response-of-esophageal-squamous-cell-carcinoma-to-neoadjuvant-chemoradiotherapy-by-radiomics-with-a.
BibTeX@misc{4ortxyz_predicting-the-local-response-of-esophageal-squamous-cell-carcinoma-to-neoadjuvant-chemoradiotherapy-by-radiomics-with-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-local-response-of-esophageal-squamous-cell-carcinoma-to-neoadjuvant-chemoradiotherapy-by-radiomics-with-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using 18F-FDG PET Images — https://4ort.xyz/entity/predicting-the-local-response-of-esophageal-squamous-cell-carcinoma-to-neoadjuvant-chemoradiotherapy-by-radiomics-with-a (retrieved 2026-05-24)
