http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34857996

Outgoing Links

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contentType Journal Article
issn 2234-943X
pageRange 1041142-
publicationName Frontiers in Oncology
startingPage 1041142
bibliographicCitation Li Y, Fan Y, Xu D, Li Y, Zhong Z, Pan H, Huang B, Xie X, Yang Y, Liu B. Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer. Front Oncol. 2022;12():1041142. PMID: 36686755; PMCID: PMC9850142.
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identifier https://pubmed.ncbi.nlm.nih.gov/PMC9850142
https://doi.org/10.3389/fonc.2022.1041142
https://pubmed.ncbi.nlm.nih.gov/36686755
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language English
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title Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer
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