Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning

Elakkiya, R, Chandra, Harshiv, Pears, N. E. orcid.org/0000-0001-9513-5634 et al. (2 more authors) (2025) Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. Biomedical signal processing and control. 107268. ISSN 1746-8094

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Item Type: Article
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This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Keywords: Generative autoencoders; Ensemble learning; Lung segmentation; Quality assessment; Unsupervised learning
Dates:
  • Accepted: 23 November 2024
  • Published (online): 30 November 2024
  • Published: April 2025
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:
Funder
Grant number
THE ROYAL SOCIETY
IES\R3\223017
Depositing User: Pure (York)
Date Deposited: 22 Jan 2025 10:40
Last Modified: 01 Apr 2025 03:00
Published Version: https://doi.org/10.1016/j.bspc.2024.107268
Status: Published
Refereed: Yes
Identification Number: 10.1016/j.bspc.2024.107268
Open Archives Initiative ID (OAI ID):

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Filename: Mod_2_Lung_GenAI.pdf

Description: Mod_2_Lung_GenAI

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