Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 6, 2024Open Access

AI-driven convolutional neural networks for accurate identification of yellow fever vectors

View Full Paper
Ask AI
Bookmark
Share

Authors

TATaís O. AraújoVMVinícius Lima de MirandaRGRodrigo Gurgel‐Gonçalves

Discussion

Loading...

Member takes

Overview

Image classification analysis demonstrates over 90% accuracy in identifying sylvatic mosquito vectors, suggesting convolutional neural networks can improve yellow fever surveillance.

Key Points

  • The AlexNet convolutional neural network identifies sylvatic mosquito vectors across three genera with high accuracy, performing consistently across different body regions.
  • Over 90% accuracy was achieved using stereoscopic cell phone images across ten pseudoreplicates to distinguish Aedes, Sabethes, and Haemagogus mosquito vectors.
  • This automated method supports surveillance of yellow fever vectors, though physical damage to field specimens remains a potential constraint on classification precision.

Cite This Study

Araújo et al. (2024) studied this question.

synapsesocial.com/papers/68e65e2bb6db6435875ec939https://doi.org/10.21203/rs.3.rs-4473317/v1
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-driven convolutional neural networks for accurate identification of yellow fever vectors2024 · 6 citations
  2. 2Robust mosquito species identification from diverse body and wing images using deep learning2024 · 1 citations
  3. 3Robust mosquito species identification from diverse body and wing images using deep learning2024 · 7 citations
  4. 4Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications2024
  5. 5Potentials and limitations in the application of Convolutional Neural Networks for mosquito species identification using wing images2025