| Literature DB >> 27610398 |
Emily Huynh1, Danuta M Bukowska1, Seyhan Yazar1, Charlotte M McKnight1, Ajmal Mian2, David A Mackey1.
Abstract
Quantification of sun-related changes in conjunctival ultraviolet autofluorescence (CUVAF) images is a subjective and tedious task, in which reproducibility of results is difficult. Thus, we have developed a semiautomatic method in MATLAB(®) to analyze CUVAF images retrospectively. The algorithm was validated on 200 images from 50 randomly selected participants from the Western Australian Pregnancy Cohort (Raine) study 20-year follow-up assessment, in which CUVAF area measurements were available from previous manual analysis. Algorithm performance was compared to manual measurements and yielded better than 95% correspondence in both intra- and interobserver agreement. Furthermore, the semiautomatic method significantly reduced analysis time by 50%.Entities:
Keywords: image processing; ophthalmohelioses; photography; sunlight
Year: 2016 PMID: 27610398 PMCID: PMC4999096 DOI: 10.1117/1.JMI.3.3.034001
Source DB: PubMed Journal: J Med Imaging (Bellingham) ISSN: 2329-4302