SciELO - Scientific Electronic Library Online

 
vol.8 suppl.1System for support clinical decisions related to the early diagnosis of diseasesMachine learning algorithms for classification of pyramidal neurons affected by aging author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Cubana de Informática Médica

On-line version ISSN 1684-1859

Abstract

ALVAREZ CANCIO, Michel; CRUZ DE LA OSA, Reyder  and  HERNANDEZ LOPEZ, Iván. Aplication of a case-based system for the identification of opacity in the posterior capsule using pentacam images. RCIM [online]. 2016, vol.8, suppl.1, pp.545-558. ISSN 1684-1859.

The posterior capsule opacity (PCO) is nowadays one of the most important aspects in cataract surgery of modern times. It´s still the most frequent post operatory complication associated with visual acuity diminution, deterioration of contrast sensitivity and blinding problems that lead to social, medical and economic repercussions.PANDOC software is a tool for numerical quantification and detection of opacity differences (sometimes imperceptible for human eyes), reaching an objective evaluation of opacity degree and minimizing the observation bias between one doctor and another. For that reason is necessary to identify automatically PCO in these images, for which is designed a case-based system. The present research is oriented to the application of a case-based system for the PANDOC software, to identify and quantify objectively PCO using the resulting images of the Pentacam´sScheimpflug camera.

Keywords : posterior capsule opacity; cataract; PANDOC; PENTACAM; case-based systems; knowledge base.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License