Point-of-care mobile digital microscopy and deep learning for the detection of soil-transmitted helminths and Schistosoma haematobium

Global Health Action

Volumn 10, Issue , 2017, Pages

  Holmström, Oscar ^a   Linder, Nina ^a,b   Ngasala, Billy ^c   Mårtensson, Andreas ^b   Linder, Ewert ^d   Lundin, Mikael ^a   Moilanen, Hannu ^d   Suutala, Antti ^a   Diwan, Vinod ^e   Lundin, Johan ^a,e  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UPPSALA UNIVERSITY   (Sweden)

^c MUHIMBILI UNIVERSITY OF HEALTH AND ALLIED SCIENCES   (Tanzania)

^d UNIVERSITY OF OULU   (Finland)

^e KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Computer vision; Global health; Helminth; Neglected tropical diseases; Point of care

Indexed keywords

ANIMAL; ASCARIS LUMBRICOIDES; COMPUTER; FECES; HELMINTHIASIS; HUMAN; IMAGE PROCESSING; ISOLATION AND PURIFICATION; MICROBIOLOGY; MICROSCOPY; ORGANIZATION AND MANAGEMENT; PARASITOLOGY; POINT OF CARE SYSTEM; PREVALENCE; SCHISTOSOMA HAEMATOBIUM; TRICHURIS;

ANIMALS; ASCARIS LUMBRICOIDES; COMPUTERS; FECES; HELMINTHIASIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY; POINT-OF-CARE SYSTEMS; PREVALENCE; SCHISTOSOMA HAEMATOBIUM; SOIL MICROBIOLOGY; TRICHURIS;

EID: 85028914171     PISSN: None     EISSN: 16549880     Source Type: Journal    
DOI: 10.1080/16549716.2017.1337325     Document Type: Article

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