Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case

DOI10.1080/00207720902777956zbMath1291.92072OpenAlexW1974636865MaRDI QIDQ5166645

Elif Derya Übeyli

Publication date: 8 July 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720902777956

zbMATH Keywords

ophthalmic arterial disordersspectral analysis techniquesautomated diagnostic systemsfeature extraction/selection

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Medical applications (general) (92C50)

Related Items (3)

New machine-learning algorithms for prediction of Parkinson's disease ⋮ A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection ⋮ A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process

Cites Work

• Unnamed Item
• The wavelet transform, time-frequency localization and signal analysis
• A connectionist method for pattern classification with diverse features

This page was built for publication: Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case