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Ultrasound Image Quality Evaluation using a...
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Ultrasound Image Quality Evaluation using a Structural Similarity Based Autoencoder

Abstract

Ultrasound (US) imaging is a widely used clinical technique that requires extensive training to use correctly. Good quality US images are essential for effective interpretation of the results, however numerous sources of error can impair quality. Currently, image quality assessment is performed by an experienced sonographer through visual inspection, however this is usually unachievable by inexperienced users. An autoencoder (AE) is a machine …

Authors

Nesovic K; Koh RGL; Sereshki AA; Zadeh FS; Popovic MR; Kumbhare D

Volume

00

Pagination

pp. 4002-4005

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

November 2021

DOI

10.1109/embc46164.2021.9630261

Name of conference

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Conference proceedings

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

ISSN

1557-170X