Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping...
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Quantification of myocardial perfusion has the potential to improve detection of regional and global flow reduction. Significant effort has been made to automate the workflow, where one essential step is the arterial input function (AIF) extraction. Since failure here invalidates quantification, high accuracy is required. For this purpose, this stu...
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Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
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TN_cdi_proquest_journals_2306372563
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2306372563
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1910.07122
