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Classification of Nasopharyngeal Cases using DenseNet Deep Learning Architecture

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Ahmad, W. S. H. M. W., Fauzi, M. F. A., Abdullahi, M. K., Lee, Jenny T. H., Basry, N. S. A., Yahaya, A, Ismail, A. M., Adam, A., Chan, Elaine W. L., Abas, F. S.
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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