Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of ...

Background: Lung cancer has the highest mortality rate in the world, twice as high as the second highest. On the other ...

Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar ...

Los sistemas de ayuda a la conducción han experimentado un gran auge en los últimos años, convirtiéndose en un punto ...

El mundo del deporte ha sufrido un gran cambio, llevando al extremo las exigencias físicas de los deportistas. Uno de los ...

Diagnosis aid systems that use image analysis are currently very useful due to the large workload of health professionals ...

Falls are one of the leading causes of permanent injury and/or disability among the elderly. When these people live alone, ...

Medical image segmentation can be implemented using Deep Learning methods with fast and efficient segmentation networks. ...

In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with ...

In this work, an in-depth study about the use of Deep Learning techniques to support healthcare professionals for the ...

Non-verbal communication is essential in the communication process. This means that its lack can cause misinterpretations ...

The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able ...

Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This ...

Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it ...

The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify ...

Glaucoma is a degenerative disease that affects vision, causing damage to the optic nerve that ends in vision loss. The ...

When convolutional neural networks are applied to image segmentation results depend greatly on the data sets used to train ...

Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the ...

Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a ...

Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ...

Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. ...

Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, ...

Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on ...

Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the ...

Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral changes ...

El glaucoma es una de las principales causas de ceguera. Cambia la morfología del nervio óptico. La copa es la región ...

El cáncer de mama es una de las causas más frecuentes de mortalidad en las mujeres. Con la llegada de los sistemas ...

La aplicación de técnicas basadas en Inteligencia Artificial como apoyo a la detección y diagnosis de cáncer mediante ...

Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar ...

El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar ...

Side-to-side intestinal anastomosis is a surgical procedure where an incision is performed between two parallel segments ...