[Intelligent identification of livestock, a source of <i>Schistosoma japonicum</i> infection, based on deep learning of unmanned aerial vehicle images].

Xue, J; Xia, S; Li, Z; Wang, X; Huang, L; He, R; Li, S

[Intelligent identification of livestock, a source of Schistosoma japonicum infection, based on deep learning of unmanned aerial vehicle images].

Xue, J; Xia, S; Li, Z; Wang, X; Huang, L; He, R; Li, S.

Afiliación

Xue J; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Res
Xia S; School of Global Health, Shanghai Jiao Tong University School of Medicine and Chinese Center for Tropical Diseases Research, Shanghai 200025, China.
Li Z; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Res
Wang X; School of Global Health, Shanghai Jiao Tong University School of Medicine and Chinese Center for Tropical Diseases Research, Shanghai 200025, China.
Huang L; Jiangxi Provincial Institute of Parasitic Diseases Control, Jiangxi Provincial Key Laboratory of Schistosomiasis Prevention and Control, China.
He R; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Res
Li S; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Res

Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi ; 35(2): 121-127, 2023 May 10.

Article en Zh | MEDLINE | ID: mdl-37253560

Asunto(s)

Aprendizaje Profundo; Esquistosomiasis Japónica; Animales; Bovinos; Esquistosomiasis Japónica/veterinaria; Ganado; Dispositivos Aéreos No Tripulados; Redes Neurales de la Computación

Palabras clave

Cattle; Convolutional neural network; Deep learning; Image recognition; Schistosomiasis; Source of infection; Unmanned aerial vehicle

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Esquistosomiasis Japónica / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi Año: 2023 Tipo del documento: Article

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