Fusion of medical imaging and electronic health records using deep learning: a systematic review and...
Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Advancements in deep learning techniques carry the potential to make significant contributions to healthcare, particularly in fields that utilize medical imaging for diagnosis, prognosis, and treatment decisions. The current state-of-the-art deep learning models for radiology applications consider only pixel-value information without data informing...
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Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines
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TN_cdi_doaj_primary_oai_doaj_org_article_62ffc0de8a644896b3eb24c93637a603
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_62ffc0de8a644896b3eb24c93637a603
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ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-020-00341-z
