Cargando…
Deep learning approaches to landmark detection in tsetse wing images
Morphometric analysis of wings has been suggested for identifying and controlling isolated populations of tsetse (Glossina spp), vectors of human and animal trypanosomiasis in Africa. Single-wing images were captured from an extensive data set of field-collected tsetse wings of species Glossina pall...
Autores principales: | Geldenhuys, Dylan S., Josias, Shane, Brink, Willie, Makhubele, Mulanga, Hui, Cang, Landi, Pietro, Bingham, Jeremy, Hargrove, John, Hazelbag, Marijn C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328335/ https://www.ncbi.nlm.nih.gov/pubmed/37363914 http://dx.doi.org/10.1371/journal.pcbi.1011194 |
Ejemplares similares
-
Wing length and host location in tsetse (Glossina spp.): implications for control using stationary baits
por: Hargrove, John, et al.
Publicado: (2019) -
Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification
por: Cannet, Arnaud, et al.
Publicado: (2022) -
Extinction probabilities as a function of temperature for populations of tsetse (Glossina spp.)
por: Are, Elisha B., et al.
Publicado: (2020) -
Learning influences host choice in tsetse
por: Bouyer, Jérémy, et al.
Publicado: (2006) -
Identification of the area sampled by traps: A modelling study with tsetse
por: Vale, Glyn A., et al.
Publicado: (2023)