Browsing by Author "Civit Masot, Javier"
Now showing items 1-20 of 31
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PhD Thesis
A Contribution to Deep Learning based Medical Image Diagnosis Aids
(2020-11-13)In this work, an in-depth study about the use of Deep Learning techniques to support healthcare professionals for the ...
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Article
A study on the use of Edge TPUs for eye fundus image segmentation
(Elsevier, 2021)Medical image segmentation can be implemented using Deep Learning methods with fast and efficient segmentation networks. ...
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Article
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
(Elsevier, 2022-12)Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of ...
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Article
Affective State Assistant for Helping Users with Cognition Disabilities Using Neural Networks
(MDPI, 2020-09)Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations ...
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Presentation
An Automated Fall Detection System Using Recurrent Neural Networks
(Springer, 2019)Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ...
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Article
AnkFall—Falls, Falling Risks and Daily-Life Activities Dataset with an Ankle-Placed Accelerometer and Training Using Recurrent Neural Networks
(MDPI, 2021)Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ...
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Presentation
Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks
(ScitePress Digital Library, 2019)Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ...
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Presentation
Clasificación de tumores en cáncer de mama basado en redes neuronales de convolución
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ...
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Presentation
Deep learning as a tool for improving efficiency the of glial tumor diagnosis
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante ...
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Presentation
Deep learning glaucoma diagnosis aid
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región ...
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Article
Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images
(MDPI, 2020)The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ...
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Article
Does Two-Class Training Extract Real Features? A COVID-19 Case Study
(MDPI, 2021-01)Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ...
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Article
Dual Machine-Learning system to aid Glaucoma Diagnosis using disc and cup feature extraction.
(IEEE Computer Society, 2020)Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The ...
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Presentation
EMG-Controlled Robotic Prosthetic Arm With Neural Network Training
(IARIA XPS Press, 2020-03-22)The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able ...
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Article
Evaluation of user satisfaction and usability of a mobile app for smoking cessation
(Elsevier, 2019)Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral ...
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Presentation
Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI
(ScitePress Digital Library, 2019)Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ...
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Chapter of Book
Herramienta de visualización, análisis y conversión de datasets analógicos a imágenes para su posterior procesado por Deep Learning
(3ciencias, 2022-02-03)Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar ...
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Presentation
Incremental Learning For Fundus Image Segmentation
(IARIA XPS Press, 2020-03-22)Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it ...
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Presentation
Localización e identificación automática de pólipos mediante una red neuronal convolucional por regiones
(3 ciencias. Área de Innovación y Desarrollo,S.L., 2019)Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar ...
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Presentation
Lower-Limb Falling Detection System Using Gated Recurrent Neural Networks
(IARIA XPS Press, 2020-03-22)Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This ...