Bibliographie

Towards an automated system for the identification of notifiable pathogens: using as an example

eng

Kay JW ; Shinn AP ; Sommerville C ;

Parasitol Today vol. 15 (5)   pp. 201-6, Mai 1999

Department of Statistics, University of Glasgow, Glasgow, UK G12 8QQ.



Simple and rapid identification of pathogen species is crucial to the control of many diseases. Here, James Kay, Andrew Shinn and Christina Sommerville demonstrate that statistical classifiers discriminate a notifiable pathogen Gyrodactylus salaris Malmberg, 1957, a lethal ectoparasite of Atlantic salmon, Salmo salar L., from its benign close relatives.


Animal ;  Cestoda: isolation & purification ;  Disease Notification ;  Fish Diseases: epidemiology: parasitology ;  Great Britain: epidemiology ;  Image Processing,Computer-Assisted: methods ;  Microscopy,Electron,Scanning ;  Neural Networks (Computer) ;  Parasitology: methods ;  Salmo salar ;  3360 ; 

 


 
     
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