The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour s...
The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour subtype classification
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Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Contents
Tumours of the kidney are a heterogeneous group of various types of cancer with characteristic histologic or genetic features that require tumour type-specific therapies.1 Chromophobe renal cell carcinomas (chRCC) and renal oncocytomas – two tumour types that can sometimes be difficult to distinguish based on morphology alone – are associated with...
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Full title
The synergism of spatial metabolomics and morphometry improves machine learning‐based renal tumour subtype classification
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TN_cdi_doaj_primary_oai_doaj_org_article_1631dfdf74404215b1475ae64178a741
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1631dfdf74404215b1475ae64178a741
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ISSN
2001-1326
E-ISSN
2001-1326
DOI
10.1002/ctm2.666
