Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. In Qatar, there is a lack of studies focusing on CVD diagnosis based on non-invasive methods such as retinal image or dual-e...
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Full title
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_6875afabd1d143e3a71d9c11c4093388
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6875afabd1d143e3a71d9c11c4093388
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22124310
