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Mostrando ítems 1-10 de 12
Artículo
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 classic techniques to detect it have undergone a great change since the intrusion of machine learning ...
Ponencia
Multidataset Incremental Training for Optic Disc Segmentation
(Springer, 2020)
When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train the networks. Cloud providers support multi GPU and TPU virtual machines making the idea of ...
Artículo
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, it is convenient that a caregiver or family member visits them periodically. However, these visits ...
Artículo
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. Single-board computers (SBCs) are difficult to use to train deep networks due to their memory and ...
Artículo
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 involved in making diagnoses. In recent years, Convolutional Neural Networks (CNNs) have been used ...
Ponencia
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 to read the limb muscles’ biopotentials. This projectaims to create an economic alternative to ...
Tesis Doctoral
Estudio e integración en sistemas empotrados de algoritmos de Aprendizaje Supervisado basados en Redes Neuronales Artificiales para el análisis de perturbaciones y eventos asociados a la marcha
(2020-11-13)
En este trabajo se contribuye al avance en el análisis de aspectos asociados a la marcha para la identificación de anomalías en la misma y de eventos de peligro, mediante el uso de algoritmos de Aprendizaje Supervisado ...
Artículo
A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial
(JMIR Publications, 2020-04)
Background: Smoking cessation is a persistent leading public health challenge. Mobile health (mHealth) solutions are emerging to improve smoking cessation treatments. Previous approaches have proposed supporting cessation ...
Artículo
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 of the message that the sender tries to transmit to the receiver. With the rise of video calls, it ...
Artículo
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 COVID-19 are invasive, time consuming and limited in resources. Imaging is a non-invasive technique ...