http://rdf.ncbi.nlm.nih.gov/pubchem/reference/35681284

Outgoing Links

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contentType Journal Article
endingPage 3555
issn 2223-4306
2223-4292
issueIdentifier 6
pageRange 3547-3555
publicationName Quantitative Imaging in Medicine and Surgery
startingPage 3547
bibliographicCitation Pan Y, Sheng W, Shi L, Jing D, Jiang W, Chen JC, Wang H, Qiu J. Whole slide imaging-based deep learning to predict the treatment response of patients with non-small cell lung cancer. Quant Imaging Med Surg. 2023 Jun 01;13(6):3547–55. PMID: 37284119; PMCID: PMC10239990.
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date 2023-06-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/37284119
https://doi.org/10.21037/qims-22-1098
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language English
source https://pubmed.ncbi.nlm.nih.gov/
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title Whole slide imaging-based deep learning to predict the treatment response of patients with non-small cell lung cancer
discussesAsDerivedByTextMining http://rdf.ncbi.nlm.nih.gov/pubchem/disease/DZID8607
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Total number of triples: 30.