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Article

Clinical validation of a fully automated framework for ventricular segmentation and wall motion classification from cine CMR

2022-08-17

Abstract excerpt

<title>Abstract</title> <p>Background We present the clinical validation of an AI-based framework for automatic ventricular segmentation and quantification, and automatic wall motion classification from cine CMR. Methods The framework was evaluated using two datasets, the SCMR Consensus dataset and a cohort private dataset composed by 146 patients. The automatic segmentation of left ventricle (LV) of SCMR Consens...

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Literature Corpus work
756eebd4-c162-5f02-b8a7-8df74913d816
DOI
10.21203/rs.3.rs-1930459/v1
Open publication

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Clinical validation of a fully automated framework for ventricular segmentation and wall motion classification from cine CMRDOI 10.21203/rs.3.rs-1930459/v1
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