Deep Learning and Handcrafted Features for Virus Image Classification

In this work, we present an ensemble of descriptors for the classification of virus images acquired using transmission electron microscopy. We trained multiple support vector machines on different sets of features extracted from the data. We used both handcrafted algorithms and a pretrained deep neu...

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Detalles Bibliográficos
Autores principales: Nanni, Loris, De Luca, Eugenio, Facin, Marco Ludovico, Maguolo, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321171/
https://www.ncbi.nlm.nih.gov/pubmed/34460540
http://dx.doi.org/10.3390/jimaging6120143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321171/
https://www.ncbi.nlm.nih.gov/pubmed/34460540
http://dx.doi.org/10.3390/jimaging6120143

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