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Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification

Archive ouverte | Cannet, Arnaud | CCSD

International audience. A simple method for accurately identifying Glossina spp in the field is a challenge to sustain the future elimination of Human African Trypanosomiasis (HAT) as a public health scourge, as wel...

Wing Interferential Patterns (WIPs) and machine learning for the classification of some Aedes species of medical interest

Archive ouverte | Cannet, Arnaud | CCSD

International audience. Hematophagous insects belonging to the Aedes genus are proven vectors of viral and filarial pathogens of medical interest. Aedes albopictus is an increasingly important vector because of its ...

Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species

Archive ouverte | Cannet, Arnaud | CCSD

International audience. We present a new and innovative identification method based on deep learning of the wing interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign 20 Anophel...

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