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Beschreibung
The cornea is essential for vision, providing most of the eye's refractive power, so even minor structural changes can significantly affect sight. Keratoconus is a progressive condition that thins the cornea, leading to visual distortion and making early diagnosis [...] work introduces a clinical dataset of corneal maps covering curvature, thickness, and elevation from different layers of the cornea. The images are processed through a specialized pipeline to enhance their quality before analysis. An artificial intelligence approach is applied using adapted deep learning models, where each type of corneal map is analyzed separately to extract meaningful features and predict the presence of [...] outputs from these individual models are then combined using fusion techniques to improve overall diagnostic performance. Comparative evaluation of different fusion strategies identifies the most effective approach, resulting in highly accurate detection of keratoconus and demonstrating the reliability of the proposed system for clinical use.
The cornea is essential for vision, providing most of the eye's refractive power, so even minor structural changes can significantly affect sight. Keratoconus is a progressive condition that thins the cornea, leading to visual distortion and making early diagnosis [...] work introduces a clinical dataset of corneal maps covering curvature, thickness, and elevation from different layers of the cornea. The images are processed through a specialized pipeline to enhance their quality before analysis. An artificial intelligence approach is applied using adapted deep learning models, where each type of corneal map is analyzed separately to extract meaningful features and predict the presence of [...] outputs from these individual models are then combined using fusion techniques to improve overall diagnostic performance. Comparative evaluation of different fusion strategies identifies the most effective approach, resulting in highly accurate detection of keratoconus and demonstrating the reliability of the proposed system for clinical use.
Über den Autor
The first author is an Engineer in Directorate of Ninawa Health, Ministry of Health, [...] second author is an Assist. Prof. Dr. in Artificial Intelligence Research Center, Northern Technical University, Mosul, [...] third author is a Lect. Dr. in School of Computing and Mathematical Sciences, Birkbeck, University of London, United Kingdom.
Details
Erscheinungsjahr: 2026
Fachbereich: Allgemeines
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9786209824531
ISBN-10: 6209824536
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Malla, Mustafa Ali
Al-Nima, Raid Rafi Omar
Han, Tingting
Hersteller: Scholars' Press
Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, ?-1039 Riga, customerservice@vdm-vsg.de
Maße: 220 x 150 x 7 mm
Von/Mit: Mustafa Ali Malla (u. a.)
Erscheinungsdatum: 30.04.2026
Gewicht: 0,191 kg
Artikel-ID: 135437290