Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.
Das D, Vongpromek R, Assawariyathipat T, Srinamon K, Kennon K, Stepniewska K, Ghose A, Sayeed AA, Faiz MA, Netto RLA, Siqueira A, Yerbanga SR, Ouédraogo JB, Callery JJ, Peto TJ, Tripura R, Koukouikila-Koussounda F, Ntoumi F, Ong'echa JM, Ogutu B, Ghimire P, Marfurt J, Ley B, Seck A, Ndiaye M, Moodley B, Sun LM, Archasuksan L, Proux S, Nsobya SL, Rosenthal PJ, Horning MP, McGuire SK, Mehanian C, Burkot S, Delahunt CB, Bachman C, Price RN, Dondorp AM, Chappuis F, Guérin PJ, Dhorda M.
Das D, et al. Among authors: srinamon k.
Malar J. 2022 Apr 12;21(1):122. doi: 10.1186/s12936-022-04146-1.
Malar J. 2022.
PMID: 35413904
Free PMC article.