ALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber

Chamoso, Pablo; Pérez-Ramos, Henar; García-García, Ángel

doi:10.14201/adcaij2014345060

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…A previous version of this tool was presented in [32], which was used to validate that the applied methodology was able to extract the correct parameters. In that case, the analysis was time-consuming for the supervising user, whose participation and decisions were required at every step.…”

Section: Fundus Image Analysismentioning

confidence: 99%

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Information Extraction from Retinal Images with Agent-Based Technology

2018

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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.

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Section: Fundus Image Analysismentioning

confidence: 99%

“…As mentioned, this paper uses the tool presented in [32] as its starting point and develops it further. The tool takes a series of steps to obtain the parameters form the fundus images that are associated with blood vessels.…”

Section: Automatic Image Analyzer To Assess Retinal Vessel Caliber (Amentioning

confidence: 99%

Information Extraction from Retinal Images with Agent-Based Technology

2018

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“…There are other applications such as secure electronic voting (Alim et al, 2017), smart glasses (Xu et al, 2018), robotics (Debdeep Banerjee andKevin Yu, 2018), user authentication (Lin et al,2016), recognition of emotions (Yamaguchi et al, 2016). There are also other interesting biometric solutions like ear recognition (Galdámez and González, 2013) retinal information (Chamoso et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Multi-agent system for selecting images based on the gender and age

Martín

Trejo

Yagüe

et al. 2019

ADCAIJ

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This paper presents a multi-agent system that is able to search people on a database of images recognizing patterns of facial features on each person, based on the main features of the face (eyes, nose and mouth). Using that multi-agent architecture, the system can do the work faster applying Fisherfaces algorithm for the face recognition and classification. This technology can be used for several purposes like specific ads in each user group to suit better their interests or search for the age and gender of people that usually go to different places like malls or shops.

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Virtual Agent Societies to Provide Solutions to an Investment Problem

Nieves

2020

Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference

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This research uses the paradigm of Virtual Agent Societies (multiagent systems) to model and automate the administration of investment portfolios, equipped with sentiment analysis to propose more optimal solutions adapted to market requirements. The agents act and collaborate with a certain autonomy and intelligence to provide solutions to an investment problem. This design is made by different artificial intelligence techniques capable of extracting knowledge and anticipating the appearance of anomalous situations.

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ALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber

Cited by 8 publications

References 26 publications

Information Extraction from Retinal Images with Agent-Based Technology

Information Extraction from Retinal Images with Agent-Based Technology

Multi-agent system for selecting images based on the gender and age

Virtual Agent Societies to Provide Solutions to an Investment Problem

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