Home ›
Entities
› academia
› Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
Research article (PLoS ONE, 2023) · cited 16× · AI/ML
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT
Summary
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT is a scholarly article[1].
Key Facts
Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-by-using-a-de
MLA“Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-by-using-a-de.
BibTeX@misc{4ortxyz_prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-by-using-a-de_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-by-using-a-de}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT — https://4ort.xyz/entity/prediction-of-pathological-complete-response-to-neoadjuvant-chemotherapy-in-locally-advanced-breast-cancer-by-using-a-de (retrieved 2026-05-24)
