Computer-Aided Diagnosis Software for Hypertensive Risk Determination Through Fundus Image Processing
| Autor: | Sandra Morales, Amparo Navea, Valery Naranjo, Mariano Alcañiz |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
EXPRESION GRAFICA EN LA INGENIERIA genetic structures Fundus Oculi Fundus image media_common.quotation_subject Diagnostic Techniques Cardiovascular Fundus (eye) Retinal vessels Software Retinal vascular tree Health Information Management TEORIA DE LA SEÑAL Y COMUNICACIONES Image Interpretation Computer-Assisted Humans Medicine Contrast (vision) Computer vision Bifurcation angles Electrical and Electronic Engineering Aged media_common business.industry Retinal Vessels Middle Aged Vessel caliber eye diseases Computer Science Applications Visual inspection Computer-aided diagnosis Hypertension Optometry Disease prevention Artificial intelligence business Biotechnology |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2168-2208 2168-2194 |
| DOI: | 10.1109/jbhi.2014.2337960 |
| Popis: | The goal of the software proposed in this paper is to assist ophthalmologists in diagnosis and disease prevention, helping them to determine cardiovascular risk or other diseases where the vessels can be altered, as well as to monitor the pathology progression and response to different treatments. The performance of the tool has been evaluated by means of a double-blind study where its sensitivity, specificity, and reproducibility to discriminate between health fundus (without cardiovascular risk) and hypertensive patients has been calculated in contrast to an expert ophthalmologist opinion obtained through a visual inspection of the fundus image. An improvement of almost 20% has been achieved comparing the system results with the clinical visual classification. This work was supported in part by Ministerio de Economia y Competitividad of Spain, Project ACRIMA (TIN2013-46751-R) and partially by the Projects Consolider-C (SEJ2006 14301/PSIC), CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII, and the Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion, 2008157). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|