Article

Automated landmark and semilandmark annotation for wing geometric morphometrics in Diptera using deep learning

2026-04-21

Abstract excerpt

1. Diptera represent a diverse insect order, including vectors of human and animal pathogens. Their accurate species identification remains a major bottleneck in ecological and epidemiological studies. Morphological identification requires taxonomic expertise, while molecular methods are costly and not universally reliable. Wing geometric morphometrics offers an alternative, but manual landmark annotation is time-...

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Literature Corpus work: afe73483-54e8-5c12-9fbe-ca904d13b1b0
DOI: 10.64898/2026.04.17.719146

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