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Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Research article (Cancers, 2023) · cited 17× · AI/ML
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Summary
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer is a scholarly article[1].
Key Facts
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer'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). Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/radiomics-signature-based-on-support-vector-machines-for-the-prediction-of-pathological-complete-response-to-neoadjuvant
MLA“Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/radiomics-signature-based-on-support-vector-machines-for-the-prediction-of-pathological-complete-response-to-neoadjuvant.
BibTeX@misc{4ortxyz_radiomics-signature-based-on-support-vector-machines-for-the-prediction-of-pathological-complete-response-to-neoadjuvant_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/radiomics-signature-based-on-support-vector-machines-for-the-prediction-of-pathological-complete-response-to-neoadjuvant}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer — https://4ort.xyz/entity/radiomics-signature-based-on-support-vector-machines-for-the-prediction-of-pathological-complete-response-to-neoadjuvant (retrieved 2026-05-24)
