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Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications

Crossref DOI link: https://doi.org/10.1038/s41598-024-71856-8

Published Online: 2024-10-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Deming

Hegde, Shruti

Sunil Kumar, Aravind

Zacharias, Atul

Mehta, Parthvi

Mukthineni, Venkat

Srimath, Satwik

Patel, Sunny

Suin, Maitreya

Chellappa, Rama

Acharya, Soumyadipta
Funding

Funding for this research was provided by:

Bill & Melinda Gates Foundation

Innovative Vector Control Consortium
License Information

Text and Data Mining valid from 2024-10-10

Version of Record valid from 2024-10-10
More Information

Article History

Received: 22 May 2024

Accepted: 1 September 2024

First Online: 10 October 2024

Change Date: 14 November 2024

Change Type: Update

Change Details: The original online version of this Article was revised: The original version of this article was revised due to a retrospective licence change request.

Competing interests

: The authors declare no competing interests.

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