Malaria Journal

official impact factor 3.49

Open Access Highly Access

Computer vision for microscopy diagnosis of malaria

F Boray Tek*, Andrew G Dempster and Izzet Kale

Malaria Journal 2009, 8:153 doi:10.1186/1475-2875-8-153

Accesses  

  • Last 30 days: 219 accesses
  • Last 365 days: 3066 accesses
  • All time: 8458 accesses

Cited by

BioMed Central: 1 citation

Methodology   Open Access Highly Accessed

Automated and unsupervised detection of malarial parasites in microscopic images

Yashasvi Purwar, Sirish L Shah, Gwen Clarke, Areej Almugairi, Atis Muehlenbachs Malaria Journal 2011, 10:364 (13 December 2011)

A pilot study of some interesting image analysis techniques that may have application in thin-film malaria parasite detection. Whether this has real applications for routine diagnosis of malaria within a haematology laboratory in industrialized countries remains to be proven.