Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6866
Title: Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case
Authors: Übeyli, Elif Derya
Keywords: automated diagnostic systems
spectral analysis techniques
feature extraction
selection
ophthalmic arterial disorders
Issue Date: 2009
Publisher: Taylor & Francis Ltd
Abstract: This article intends to give an integrated view of the automated diagnostic systems combined with spectral analysis techniques in the detection of arterial disorders. The article includes illustrative and detailed information about implementation of automated diagnostic systems and feature extraction/selection from signals recorded from ophthalmic arteries. The major objective of the article is to be a guide for readers who want to develop an automated diagnostic systems for detection of arterial disorders. Towards achieving this objective, this article presents the techniques which should be considered in developing automated diagnostic systems. The author suggests that the content of the article will assist people in gaining a better understanding of the techniques in the detection of arterial disorders.
URI: https://doi.org/10.1080/00207720902777956
https://hdl.handle.net/20.500.11851/6866
ISSN: 0020-7721
1464-5319
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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