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Deep Content and Contrastive Perception Learning for Automatic Fetal Nuchal Translucency Image Quality Assessment

journal contribution
posted on 2025-04-04, 09:25 authored by L Zhao, Y Xu, J Xu, W Ding, J Yang, Huiyu ZhouHuiyu Zhou, Y Du, B Hu, L Zhang, Q Wang
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Funding

This work is supported by the National Natural Sciences Foundation of China under Grant 61976120, Nantong Science Technology Program Project MS2023060, Nantong Institute of Technology Foundation 2023XK(B)03 and Jiangsu Government Scholarship.

History

Author affiliation

College of Science & Engineering Comp' & Math' Sciences

Version

  • AM (Accepted Manuscript)

Published in

Engineering Applications of Artificial Intelligence

Publisher

Elsevier

issn

0952-1976

eissn

1873-6769

Copyright date

2025

Publisher DOI

Notes

Embargo until publication

Language

en

Publisher version

Deposited by

Professor Huiyu Zhou

Deposit date

2025-04-03

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    University of Leicester Publications

    Categories

    Keywords

    Nuchal translucency ultrasound planeQuality assessmentUltrasound screeningDeep learning networkGraph encoding learningContrastive learningAttention mechanism

    Licence

    CC BY 4.0

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