Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning

by Archasuksan, L., Assawariyathipat, T., Bachman, C., Burkot, S., Callery, J.J, Chappuis, F., Das, D., Delahunt, C.B, Dhorda, M., Dondorp, A.M, Faiz, M.A, Ghimire, P., Ghose, A., Guérin, P.J, Horning, M.P, Kennon, K., Koukouikila-Koussounda, F., Ley, B., Marfurt, J., McGuire, S.K, Mehanian, C., Moodley, B., Ndiaye, M., Netto, R.L.A, Nsobya, S.L, Ntoumi, F., Ogutu, B., Ong’echa, J.M, Ouédraogo, J.B, Peto, T.J, Price, R.N, Proux, S., Rosenthal, P.J, Sayeed, A.A, Seck, A., Siqueira, A., Srinamon, K., Stepniewska, K., Sun, L.M, Tripura, R., Vongpromek, R., Yerbanga, S.R
Published 2022