Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool

José Manuel Matos Ribeiro da Fonseca; André Teixeira Bento Damas Mora; DEE Group Author

doi:10.1007/978-3-642-28255-3_65

Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool

José Manuel Matos Ribeiro da Fonseca, André Teixeira Bento Damas Mora, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Age-related macular degeneration (ARMD) is a common disease inthe 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. Itsquantitative analysis is important in the follow up of the ARMD. The authorshave previously developed two tools for semi-automatic and automatic drusenquantification. In this paper five tests performed on these tools are presentedand discussed in order to evaluate their accuracy, variability and repeatability.The statistical results show that the automatic tool is as accurate as the expertsin Drusen quantification, with the advantage of being a reproducible method.The semi-automatic quantification method, which was used by the experts forDrusen quantification, proved statistically to produce a high intra-observeragreement.

Original language	Unknown
Title of host publication	IFIP Advances in Information and Communication Technology
Editors	Luis M. Camarinha-Matos, Ehsan Shahamatnia, Gonçalo Nunes
Place of Publication	Boston
Publisher	Springer
Pages	583-590
Volume	372
ISBN (Print)	978-3-642-28254-6
DOIs	https://doi.org/10.1007/978-3-642-28255-3_65
Publication status	Published - 1 Jan 2012
Event	3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems - Duration: 1 Jan 2012 → …

Conference

Conference	3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems
Period	1/01/12 → …

Access to Document

10.1007/978-3-642-28255-3_65

Cite this

@inproceedings{34eb46063fd34452a7c998e94af3774f,

title = "Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool",

abstract = "Age-related macular degeneration (ARMD) is a common disease inthe 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. Itsquantitative analysis is important in the follow up of the ARMD. The authorshave previously developed two tools for semi-automatic and automatic drusenquantification. In this paper five tests performed on these tools are presentedand discussed in order to evaluate their accuracy, variability and repeatability.The statistical results show that the automatic tool is as accurate as the expertsin Drusen quantification, with the advantage of being a reproducible method.The semi-automatic quantification method, which was used by the experts forDrusen quantification, proved statistically to produce a high intra-observeragreement.",

keywords = "Drusen quantification, ARMD, image processing, Inter-observer agreement",

author = "Fonseca, {Jos{\'e} Manuel Matos Ribeiro da} and Mora, {Andr{\'e} Teixeira Bento Damas} and {DEE Group Author}",

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doi = "10.1007/978-3-642-28255-3_65",

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editor = "Camarinha-Matos, {Luis M.} and Ehsan Shahamatnia and Gon{\c c}alo Nunes",

booktitle = "IFIP Advances in Information and Communication Technology",

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note = "3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems ; Conference date: 01-01-2012",

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Fonseca, JMMRD , Mora, ATBD & DEE Group Author 2012, Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool. in LM Camarinha-Matos, E Shahamatnia & G Nunes (eds), IFIP Advances in Information and Communication Technology. vol. 372, Springer, Boston, pp. 583-590, 3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, 1/01/12. https://doi.org/10.1007/978-3-642-28255-3_65

Variability and Repeatability Tests of ARMD Assessment Using the AD3RI Tool. / Fonseca, José Manuel Matos Ribeiro da ; Mora, André Teixeira Bento Damas; DEE Group Author.
IFIP Advances in Information and Communication Technology. ed. / Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. Vol. 372 Boston: Springer, 2012. p. 583-590.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mora, André Teixeira Bento Damas

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N2 - Age-related macular degeneration (ARMD) is a common disease inthe 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. Itsquantitative analysis is important in the follow up of the ARMD. The authorshave previously developed two tools for semi-automatic and automatic drusenquantification. In this paper five tests performed on these tools are presentedand discussed in order to evaluate their accuracy, variability and repeatability.The statistical results show that the automatic tool is as accurate as the expertsin Drusen quantification, with the advantage of being a reproducible method.The semi-automatic quantification method, which was used by the experts forDrusen quantification, proved statistically to produce a high intra-observeragreement.

AB - Age-related macular degeneration (ARMD) is a common disease inthe 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. Itsquantitative analysis is important in the follow up of the ARMD. The authorshave previously developed two tools for semi-automatic and automatic drusenquantification. In this paper five tests performed on these tools are presentedand discussed in order to evaluate their accuracy, variability and repeatability.The statistical results show that the automatic tool is as accurate as the expertsin Drusen quantification, with the advantage of being a reproducible method.The semi-automatic quantification method, which was used by the experts forDrusen quantification, proved statistically to produce a high intra-observeragreement.

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