Automatic diagnosis of genital schistosomiasis

Automatic diagnosis of genital schistosomiasis

Dr Sigve Holmen’s PhD thesis showed an interesting, innovative non-invasive approach to the diagnosis of Female Genital Schistosomiasis (FGS), representing an original contribution to the knowledge in the field. BRIGHT Researcher, Sigve Homen (right), defended his PhD thesis against United Kingdom opponents Professor Gabriel Landini and Professor Albert Singer (left). The sensitivity for detection of FGS of (83%) and specificity of (73%)  might not at first appear to be as high as desirable and a mobile app must be developed further. However, the figures are very good for a first attempt to make an objective diagnostic tool for FGS. Professor Albert Singer who is an expert colposcopist emphasised that the technique holds the possibility to both train health professionals in FGS and ensure quality control of the diagnosis. We congratulate Dr Holmen with a unique and significant contribution to female health.

  • Title: “Computer Image Analysis as a Diagnostic Tool in Female Genital Schistosomiasis”
  • PhD registered: University of Oslo (UoO), Norway
  • Main supervisor: Professor Eyrun F Kjetland (Oslo University Hospital/University of KwaZulu-Natal)
  • Co-supervisors: Professor Mathias Onsrud (Gynaecology, Oslo University Hospital/UoO) and Professor Fritz Albregtsen (Informatics, UoO)