Automated cooling tower detection through deep learning for Legionnaires’ disease outbreak investigations: a model development and validation study

Cooling towers containing Legionella spp are a high-risk source of Legionnaires’ disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer visi...

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Veröffentlicht in:	The Lancet. Digital health 2024-07, Vol.6 (7), p.e500-e506
Hauptverfasser:	Wong, Karen K, Segura, Thaddeus, Mein, Gunnar, Lu, Jia, Hannapel, Elizabeth J, Kunz, Jasen M, Ritter, Troy, Smith, Jessica C, Todeschini, Alberto, Nugen, Fred, Edens, Chris
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Conditioning Deep Learning Disease Outbreaks - prevention & control Humans Legionella Legionnaires' Disease - diagnosis Legionnaires' Disease - epidemiology Legionnaires' Disease - prevention & control New York - epidemiology Philadelphia - epidemiology Satellite Imagery
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