SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN ; volume:17 ; number:1 ; day:9 ; month:7 ; year:2024 ; pages:1-18 ; date:12.2024
International journal of computational intelligence systems ; 17, Heft 1 (9.7.2024), 1-18, 12.2024
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s44196-024-00574-w
- URN
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urn:nbn:de:101:1-2409262115437.230780459863
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Sahoo, Saswati
- Mishra, Sushruta
- Brahma, Biswajit
- Barsocchi, Paola
- Bhoi, Akash Kumar
- SpringerLink (Online service)
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