Colourimetric image analysis as a diagnostic tool in female genital schistosomiasis. Issue 3 (March 2015)

• Record Type: Journal Article
• Authors: Holmen, Sigve Dhondup; Kjetland, Eyrun Floerecke; Taylor, Myra; Kleppa, Elisabeth; Lillebø, Kristine; Gundersen, Svein Gunnar; Onsrud, Mathias; Albregtsen, Fritz
• Is Part Of: Medical engineering & physics. Volume 37:Issue 3(2015:Mar.)
• Page Start: 309
• Page End: 314
• Publication Date: 2015-03
• Subjects: Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2014.12.007
• Languages: English
• ISSNs: 1350-4533

Abstract

<abstract abstract-type="author-highlights" id="abs0001"> <title id="cesectitle0001">Highlights</title> <sec> <p id="spara0001"> <list id="celist0001"> <list-item id="celistitem0001"> <label></label> <p id="para0001">We describe a new method for detecting lesions caused by genital schistosomiasis.</p> </list-item> <list-item id="celistitem0002"> <label></label> <p id="para0002">Region of interest is automatically detected and mucosal reflections are masked.</p> </list-item> <list-item id="celistitem0003"> <label></label> <p id="para0003">Mean colour values are measured to correct for heterogeneous images.</p> </list-item> <list-item id="celistitem0004"> <label></label> <p id="para0004">An adaptive colourimetric algorithm detects lesions.</p> </list-item> <list-item id="celistitem0005"> <label></label> <p id="para0005">We found that the method may yield a sensitivity and specificity of 83% and 73%.</p> </list-item> </list> </p> </sec> </abstract>