Information Extraction from Retinal Images with Agent-Based Technology

被引：2

作者：

Chamoso, Pablo ^{[1
,2
]}

Rodriguez, Sara ^{[1
,2
]}

Garcia-Ortiz, Luis ^{[2
,3
]}

Manuel Corchado, Juan ^{[1
,2
,4
,5
]}

机构：

[1] Univ Salamanca, BISITE Digital Innovat Hub, Edificio Multiusos I D I,Calle Espejo 2, Salamanca 37007, Spain

[2] Hosp Virgen de la Vega, Hosp Salamanca, Inst Invest Biomed Salamanca IBSAL, 10a Planta,Paseo San Vicente 58-182, Salamanca 37007, Spain

[3] La Alamedilla Hlth Ctr, Primary Care Res Unit, Sanidad Castilla & Leon Sacyl, Red Invest Preventivas & Promoc Salud REDIAPP, Ave Comuneros, Salamanca 37003, Spain

[4] Osaka Inst Technol, Fac Engn, Dept Elect Informat & Commun, Osaka 5358585, Japan

[5] Univ Malaysia Kelantan, Pusat Komputeran & Informat, Karung Berkunci 36, Kota Baharu 16100, Kelantan, Malaysia

来源：

PROCESSES | 2018年 / 6卷 / 12期

关键词：

agents; image processing; medical image; virtual organizations; BLOOD-VESSEL SEGMENTATION; ATHEROSCLEROSIS RISK; DIABETIC-RETINOPATHY; ALGORITHM; CALIBER; TOOL;

D O I：

10.3390/pr6120254

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

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.

引用

页数：19

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