AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans

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Titel: AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans
Autoren: Anchita Kakati, Upasana Bhattacharjya, Jyoti Prakash Medhi, Kandarpa Kumar Sarma
Quelle: Network Modeling Analysis in Health Informatics and Bioinformatics. 14
Verlagsinformationen: Springer Science and Business Media LLC, 2025.
Publikationsjahr: 2025
Publikationsart: Article
Sprache: English
ISSN: 2192-6670
DOI: 10.1007/s13721-025-00549-7
Rights: Springer Nature TDM
Dokumentencode: edsair.doi...........5586db9f0a8d3207d0b86e7780ec42dd
Datenbank: OpenAIRE
Beschreibung
ISSN:21926670
DOI:10.1007/s13721-025-00549-7