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Information Extraction from Retinal Images with Agent-Based Technology

BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, Spain
Instituto de Investigación Biomédica de Salamanca (IBSAL), Hospital of Salamanca, Hospital Virgen de la Vega, 10a Planta, Paseo de San Vicente, 58-182, 37007 Salamanca, Spain
Primary Care Research Unit, La Alamedilla Health Center, Sanidad de Castilla y León (Sacyl), Red de investigaciones preventivas y promocion de la salud (REDIAPP), Avenida Comuneros, 37003 Salamanca, Spain
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, Kota Bharu 16100, Kelantan, Malaysia
Authors to whom correspondence should be addressed.
Processes 2018, 6(12), 254;
Received: 23 October 2018 / Revised: 21 November 2018 / Accepted: 5 December 2018 / Published: 6 December 2018
(This article belongs to the Special Issue Systems Biomedicine )
The study of retinal vessels can provide information on a wide range of illnesses in the human body. Numerous works have already focused on this new field of research and several medical software programs have been proposed to facilitate the close examination of retinal vessels. Some allow for the automatic extraction of information and can be combined with other clinical tools for effective diagnosis and further medical studies. This article proposes an Agent-based Virtual Organizations (VO) System which applies a novel methodology for taking measurements from fundus images and extracting information on the retinal vessel caliber. A case study was conducted to evaluate the performance of the developed system, and the fundus images of different patients were used to extract information. Its performance was compared with that of similar tools. View Full-Text
Keywords: agents; image processing; medical image; virtual organizations agents; image processing; medical image; virtual organizations
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MDPI and ACS Style

Chamoso, P.; Rodríguez, S.; García-Ortiz, L.; Corchado, J.M. Information Extraction from Retinal Images with Agent-Based Technology. Processes 2018, 6, 254.

AMA Style

Chamoso P, Rodríguez S, García-Ortiz L, Corchado JM. Information Extraction from Retinal Images with Agent-Based Technology. Processes. 2018; 6(12):254.

Chicago/Turabian Style

Chamoso, Pablo, Sara Rodríguez, Luis García-Ortiz, and Juan M. Corchado. 2018. "Information Extraction from Retinal Images with Agent-Based Technology" Processes 6, no. 12: 254.

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