In this work, novel computer-aided diagnosis systems for medical image analysis focusing on prostate cancer are proposed ...

Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases ...

Prostate cancer (PCa) is one of the most commonly diagnosed cancer and one of the leading causes of death among men, with ...

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

The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is ...

La reacción en cadena de la polimerasa (PCR) se apoya hoy en día en el uso de termocicladores: dispositivos capaces de ...

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

Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has ...

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 ...

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 ...

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 ...

Human Papilloma Virus (HPV) could develop precancerous lesions and invasive cancer, as it is the main cause of nearly all ...

A shared control method, called Shared Control Dynamic Window Approach, is presented. It is inspired in the Dynamic Window ...

Robotics is an area of research in which the paradigm of Multi-Agent Systems (MAS) can prove to be highly useful. Multi-Agent ...

Today, the availability of inexpensive, low power hardware including CMOS cameras and wireless devices make it possible ...

Problem-based learning (PBL) has proved to be a highly successful pedagogical model in many fields, although it is not ...

We propose a dynamic instruction scheduler that does not need any kind of wakeup logic, as all the instructions are “programmed” ...

We propose a simpler and latency-reduced instruction scheduler, called chronoscheduling algorithm, which avoids large and ...

Bluetooth is a suitable technology to support soft real-time applications like multimedia streams at the personal area ...

People with disabilities in general, and wheelchair users in particular, are one of the groups of people that may benefit ...

Address-event-representation (AER) is a communications protocol for transferring spikes between bio-inspired chips. Such ...

Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time ...

Address-Event-Representation (AER) is a communications protocol for transferring spikes between bio-inspired chips. Such ...

We present an analytical model for single-slave Bluetooth piconets when the coexistence of multiple interfering devices ...

The design of Ambient Intelligent Systems (AISs) is discussed in the context of assistive technologies. The main issues ...

The indoor maneuverability of powered wheelchairs may be difficult or bothersome in several circumstances. In this paper, ...

TetraNauta is an electric wheelchair guidance system intended for people with heavy motion impairments (such as persons ...

The TetraNauta project is a low cost, fully open steering system to allow people with heavy motor impairments to move in ...

In this work we present a new path following control for unicycle robots that is applicable for almost all the possible ...

Cuando hablamos de Tecnología de Rehabilitación (o Tecnología asistencia) nos estamos refiriendo a una nueva forma de ...

En esta ponencia-demo se presenta una práctica donde se analiza la influencia en el tiempo de ejecución de algunas ...

Several authors have proposed some methods for applying path following in specific cases to mobile robots. When we try to ...