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Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy

Detalles Bibliográficos
Autores principales: Yuan, Li, Li, Jian-Jun, Li, Chang-Qing, Yan, Cheng-Gong, Cheng, Ze-Long, Wu, Yuan-Kui, Hao, Peng, Lin, Bing-Quan, Xu, Yi-Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620256/
https://www.ncbi.nlm.nih.gov/pubmed/34823597
http://dx.doi.org/10.1186/s40644-021-00434-2
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author Yuan, Li
Li, Jian-Jun
Li, Chang-Qing
Yan, Cheng-Gong
Cheng, Ze-Long
Wu, Yuan-Kui
Hao, Peng
Lin, Bing-Quan
Xu, Yi-Kai
author_facet Yuan, Li
Li, Jian-Jun
Li, Chang-Qing
Yan, Cheng-Gong
Cheng, Ze-Long
Wu, Yuan-Kui
Hao, Peng
Lin, Bing-Quan
Xu, Yi-Kai
author_sort Yuan, Li
collection PubMed
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spelling pubmed-86202562021-11-29 Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy Yuan, Li Li, Jian-Jun Li, Chang-Qing Yan, Cheng-Gong Cheng, Ze-Long Wu, Yuan-Kui Hao, Peng Lin, Bing-Quan Xu, Yi-Kai Cancer Imaging Retraction Note BioMed Central 2021-11-25 /pmc/articles/PMC8620256/ /pubmed/34823597 http://dx.doi.org/10.1186/s40644-021-00434-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Retraction Note
Yuan, Li
Li, Jian-Jun
Li, Chang-Qing
Yan, Cheng-Gong
Cheng, Ze-Long
Wu, Yuan-Kui
Hao, Peng
Lin, Bing-Quan
Xu, Yi-Kai
Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title_full Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title_fullStr Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title_full_unstemmed Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title_short Retraction Note to: Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
title_sort retraction note to: diffusion-weighted mr imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy
topic Retraction Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620256/
https://www.ncbi.nlm.nih.gov/pubmed/34823597
http://dx.doi.org/10.1186/s40644-021-00434-2
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