High-throughput image-based pupal sex classification in Aedes aegypti using convolutional neural network models for sterile insect technique applications.
- DOI
- 10.1016/j.actatropica.2026.108080
- Published
- 2026 Jun
- Container
- Acta tropica
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.actatropica.2026.108080,
title = {High-throughput image-based pupal sex classification in Aedes aegypti using convolutional neural network models for sterile insect technique applications.},
author = {Hila AMJ and Amalin DM and Carvajal TM},
year = {2026},
journal = {Acta tropica},
doi = {10.1016/j.actatropica.2026.108080},
url = {https://doi.org/10.1016/j.actatropica.2026.108080}
}RIS
TY - JOUR TI - High-throughput image-based pupal sex classification in Aedes aegypti using convolutional neural network models for sterile insect technique applications. AU - Hila AMJ AU - Amalin DM AU - Carvajal TM PY - 2026 JO - Acta tropica DO - 10.1016/j.actatropica.2026.108080 UR - https://doi.org/10.1016/j.actatropica.2026.108080 ER -
APA
AMJ, H., DM, A., & TM, C. (2026). High-throughput image-based pupal sex classification in Aedes aegypti using convolutional neural network models for sterile insect technique applications.. Acta tropica. https://doi.org/10.1016/j.actatropica.2026.108080
Source records
- pubmed · retrieved 2026-09-26T02:50:24.707Z