Detalhe da pesquisa
1.
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.
Malar J
; 21(1): 122, 2022 Apr 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35413904
2.
Performance of a fully-automated system on a WHO malaria microscopy evaluation slide set.
Malar J
; 20(1): 110, 2021 Feb 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-33632222
3.
Limitations of haemozoin-based diagnosis of Plasmodium falciparum using dark-field microscopy.
Malar J
; 13: 147, 2014 Apr 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-24739286
4.
Internal Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.
medRxiv
; 2024 Feb 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37560093
5.
Detection of malarial byproduct hemozoin utilizing its unique scattering properties.
Opt Express
; 19(13): 12190-6, 2011 Jun 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-21716456
6.
Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach.
Annu Int Conf IEEE Eng Med Biol Soc
; 2020: 1944-1949, 2020 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-33018383
7.
An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.
J Natl Cancer Inst
; 111(9): 923-932, 2019 09 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30629194
8.
A paper microfluidic cartridge for automated staining of malaria parasites with an optically transparent microscopy window.
Lab Chip
; 14(12): 2040-6, 2014 Jun 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-24781199