http://rdf.ncbi.nlm.nih.gov/pubchem/reference/18984029

Outgoing Links

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contentType Journal Article
endingPage 344
issn 1878-7401
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issueIdentifier S1
pageRange 335-344
publicationName Technology and health care : official journal of the European Society for Engineering and Medicine
startingPage 335
bibliographicCitation Zhang X, Zhang K, Jiang M, Yang L. Research on the classification of lymphoma pathological images based on deep residual neural network. Technol Health Care. 2021;29(S1):335–44. PMID: 33682770; PMCID: PMC8150517.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc
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date 2021-03-25-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.3233/thc-218031
https://pubmed.ncbi.nlm.nih.gov/33682770
https://pubmed.ncbi.nlm.nih.gov/PMC8150517
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language English
source https://pubmed.ncbi.nlm.nih.gov/
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title Research on the classification of lymphoma pathological images based on deep residual neural network
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID8388
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Total number of triples: 26.