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Updated: Oct 22, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
Deep Learning and Handcrafted Features for Virus Image Classification
Loris Nanni1, Eugenio De Luca1, Marco Ludovico Facin1
1Dipartimento di Ingegneria Dell'informazione, University of Padova, via Gradenigo 6, 35131 Padova, Italy.
Abstract:
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 neural network as feature extractors. The proposed fusion strongly boosts the performance obtained by each stand-alone approach, obtaining state of the art performance.
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