Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms-Reference-Cited by-同舟云学术

Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms

Published:2024-03 Issue: Volume:79 Page:102430
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

de Miranda Vinícius Lima,de Souza Ewerton Pacheco,Bambil Deborah,Khalighifar Ali,Peterson A. Townsend,de Oliveira Nascimento Francisco Assis,Gurgel-Gonçalves Rodrigo,Abad-Franch Fernando

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

National Science Foundation

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference89 articles.

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2. Ecology, evolution, and the long-term surveillance of vector-borne Chagas disease: a multi-scale appraisal of the tribe Rhodniini (Triatominae);Abad-Franch;Acta Trop.,2009

3. Community participation in Chagas disease vector surveillance: systematic review;Abad-Franch;PLoS Negl. Trop. Dis.,2011

4. Certifying the interruption of Chagas disease transmission by native vectors: Cui bono?;Abad-Franch;Mem. Inst. Oswaldo Cruz,2013

5. Reply. On bugs and bias: improving Chagas disease control assessment;Abad-Franch;Mem. Inst. Oswaldo Cruz,2014

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