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Article

Generalizability and Quality Control of Deep Learning-Based 2D Echocardiography Segmentation Models in a Large Clinical Dataset

2021-11-24

Abstract excerpt

Use of machine learning for automated annotation of heart structures from echocardiographic videos is an active research area, but understanding of comparative, generalizable performance among models is lacking. This study aimed to 1) assess the generalizability of five state-of-the-art machine learning-based echocardiography segmentation models within a large clinical dataset, and 2) test the hypothesis that a qu...

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Literature Corpus work
7d898a80-54d8-50f1-a630-15a0674bc81f
DOI
10.21203/rs.3.rs-1097714/v1
Open publication

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Generalizability and Quality Control of Deep Learning-Based 2D Echocardiography Segmentation Models in a Large Clinical DatasetDOI 10.21203/rs.3.rs-1097714/v1
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