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Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms
Research article (Journal of Cancer Research and Clinical Oncology, 2024) · cited 12× · AI/ML
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms
Summary
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms is a scholarly article[1].
Key Facts
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-pathological-complete-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients-use-of-mri-radiomics-dat
MLA“Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-pathological-complete-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients-use-of-mri-radiomics-dat.
BibTeX@misc{4ortxyz_predicting-pathological-complete-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients-use-of-mri-radiomics-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-pathological-complete-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients-use-of-mri-radiomics-dat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms — https://4ort.xyz/entity/predicting-pathological-complete-response-to-neoadjuvant-chemotherapy-in-breast-cancer-patients-use-of-mri-radiomics-dat (retrieved 2026-05-24)
