1CTS - Uninova (Campus da FCT-UNL 2829-516 Caparica Portugal - Portugal)
2FCT-UNL (Campus da FCT-UNL 2829-516 Caparica Portugal - Portugal)
Abstract : Age-related macular degeneration (ARMD) is a common disease in the elderly and is currently the main cause of blindness in developed countries. Drusen are one of its risks factors, which are visible in a retinal examination. Its quantitative analysis is important in the follow up of the ARMD. The authors have previously developed two tools for semi-automatic and automatic drusen quantification. In this paper five tests performed on these tools are presented and discussed in order to evaluate their accuracy, variability and repeatability. The statistical results show that the automatic tool is as accurate as the experts in Drusen quantification, with the advantage of being a reproducible method. The semi-automatic quantification method, which was used by the experts for Drusen quantification, proved statistically to produce a high intra-observer agreement.
Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.583-590, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_65〉
https://hal.inria.fr/hal-01365780
Contributeur : Hal Ifip
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Soumis le : mardi 13 septembre 2016 - 15:59:13
Dernière modification le : mardi 13 septembre 2016 - 17:05:56
Document(s) archivé(s) le : mercredi 14 décembre 2016 - 15:14:28
André Mora, José Fonseca, Pedro Vieira. Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool. Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.583-590, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_65〉. 〈hal-01365780〉
