The current landscape of artificial intelligence in computational histopathology for cancer diagnosi...
The current landscape of artificial intelligence in computational histopathology for cancer diagnosis
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Contents
Artificial intelligence (AI) marks a frontier in histopathologic analysis shift towards the clinic, becoming a mainstream choice to interpret histological images. Surveying studies assessing AI applications in histopathology from 2013 to 2024, we review key methods (including supervised, unsupervised, weakly supervised and transfer learning) in dee...
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Full title
The current landscape of artificial intelligence in computational histopathology for cancer diagnosis
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TN_cdi_doaj_primary_oai_doaj_org_article_964e85cecf054d82a9759774b64d458e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_964e85cecf054d82a9759774b64d458e
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ISSN
2730-6011
E-ISSN
2730-6011
DOI
10.1007/s12672-025-02212-z
