EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs.

Javed, Nouman; López-Denman, Adam J; Paradkar, Prasad N; Bhatti, Asim

Javed, Nouman; López-Denman, Adam J; Paradkar, Prasad N; Bhatti, Asim.

Afiliación

Javed N; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, 3216, Australia.
López-Denman AJ; CSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, 3220, Australia.
Paradkar PN; CSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, 3220, Australia.
Bhatti A; CSIRO Health & Biosecurity, Australian Centre for Disease Preparedness, Geelong, VIC, 3220, Australia.

Parasit Vectors ; 16(1): 341, 2023 Oct 02.

Article en En | MEDLINE | ID: mdl-37779213

Asunto(s)

Aedes; Animales; Femenino; Humanos; Mosquitos Vectores; Programas Informáticos; Redes Neurales de la Computación; Oviposición

Palabras clave

Artificial intelligence; Egg counting; EggCountAI; Epidemiological models; Fecundity; ICount; MECVision; Mask RCNN

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aedes Tipo de estudio: Prognostic_studies Límite: Animals / Female / Humans Idioma: En Revista: Parasit Vectors Año: 2023 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Reino Unido

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