En este trabajo se realiza un estudio intensivo acerca del uso de técnicas de Deep Learning como apoyo a los profesionales sanitarios para el reconocimiento de patologías mediante imágenes médicas. La mayor parte de la investigación está focalizada en la detección de glaucoma en base a imágenes del fondo del ojo; sin embargo, con el fin de...
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February 9, 2021 (v1)PublicationUploaded on: March 26, 2023
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December 2, 2022 (v1)Publication
Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of publications and are usually centered around comparing very specific topics between a very limited range of solutions. Best surveys available in the field are bibliography sections of some papers and books which lack a...
Uploaded on: March 24, 2023 -
September 22, 2020 (v1)Publication
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 to identify if individuals have symptoms of disease in their lungs. However, the diagnosis by this method needs to be made by...
Uploaded on: March 26, 2023 -
February 26, 2021 (v1)Publication
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 techniques into the processing of eye fundus images. Several works focus on training a convolutional neural network (CNN) by...
Uploaded on: December 4, 2022 -
July 20, 2022 (v1)Publication
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 cloud-based segmentation as service attractive. In this paper we study the problem of building a segmentation service, where images...
Uploaded on: December 4, 2022 -
May 5, 2021 (v1)Publication
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 do not prevent falls when the elderly person is alone. Furthermore, in exceptional circumstances, such as a pandemic, we...
Uploaded on: December 4, 2022 -
February 15, 2021 (v1)Publication
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 to help in these tasks. For this reason, multiple studies that analyze the detection precision for several diseases have been...
Uploaded on: December 4, 2022 -
July 20, 2022 (v1)Publication
Side-to-side intestinal anastomosis is a surgical procedure where an incision is performed between two parallel segments of gut and then they are sutured together. The purpose of this paper is to investigate if the standard surgical practice diameter used in anastomosis leads to undesirable closed circulatory flows which may be harmful to the...
Uploaded on: March 25, 2023 -
April 14, 2023 (v1)Publication
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 to help in these tasks. For this reason, multiple studies that analyze the detection precision for several diseases have been...
Uploaded on: April 15, 2023 -
December 20, 2019 (v1)Publication
Medical images from different clinics are acquired with different instruments and settings. To perform segmentation on these images as a cloud-based service we need to train with multiple datasets to increase the segmentation independency from the source. We also require an ef cient and fast segmentation network. In this work these two...
Uploaded on: December 4, 2022 -
April 17, 2023 (v1)Publication
Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, allowing the creation of valuable tools for diag nosis, health empowerment, and personalized treatment, among others. Advances in these systems follow different approaches, such as the integration of new protocols and...
Uploaded on: April 19, 2023 -
September 11, 2023 (v1)Publication
Monkeypox is a smallpox-like disease that was declared a global health emergency in July 2022. Because of this resemblance, it is not easy to distinguish a monkeypox rash from other similar diseases; however, due to the novelty of this disease, there are no widely used databases for this purpose with which to develop image-based classification...
Uploaded on: October 11, 2023 -
June 2, 2021 (v1)Publication
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 non-invasive activeprostheses that exist today. Our prosthesis can perform the samefunctions but at a so much affordable price. In...
Uploaded on: March 27, 2023 -
February 15, 2021 (v1)Publication
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 seems that this problem has been partially solved. However, people with cognitive disorders such as those with some kind of...
Uploaded on: March 25, 2023 -
July 20, 2022 (v1)Publication
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 processing limitations. Specific hardware such as Google's Edge TPU makes them suitable for real time predictions using complex...
Uploaded on: December 4, 2022 -
September 3, 2019 (v1)Publication
El proyecto SmokeFreeBrain estudia la efectividad de una variedad de intervenciones con el objetivo de dejar de fumar usando diferentes técnicas. Uno de los métodos consiste en la aplicación de un protocolo de intervención basado en terapia del comportamiento mediante el uso de aplicaciones móviles, gamificación y envío de mensajes...
Uploaded on: December 4, 2022 -
June 2, 2021 (v1)Publication
Accidental falls are one of the most common causes of premature disability and mortality related to unnatural causes. This affects mainly the elderly population. With the current aging of the population, the rate of accidental falls increases. Computer systems for gait analysis and fast assistance in ubiquitous environments can be effective...
Uploaded on: March 25, 2023 -
December 18, 2019 (v1)Publication
Colorectal cancer is the third most frequently diagnosed malignancy in the world. To prevent this disease, polyps, the principal precursor, are removed during a colonoscopy. Automatic detection of polyps in this technique could play an important role to assist doctors for achieving an accurate diagnosis. In this work, we apply a...
Uploaded on: December 4, 2022 -
December 16, 2019 (v1)Publication
Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. Fall detection systems can be used to alert and request help when this type of accident happens. Certain types of these systems include wearable devices that analyze bio-medical signals from the person carrying it in real...
Uploaded on: March 27, 2023 -
December 18, 2019 (v1)Publication
Deep Learning tools are widely used for medical image segmentation. The results produced by these techniques depend to a great extent on the data sets used to train the used network. Nowadays many cloud service providers offer the required resources to train networks and deploy deep learning networks. This makes the idea of segmentation as a...
Uploaded on: December 4, 2022 -
March 1, 2022 (v1)Publication
Las herramientas de aprendizaje automático se desarrollaron inicialmente para clasificar información visual y detectar patrones en éstas. Debido a ello, muchos trabajos transforman información almacenada analógicamente a imágenes para utilizar sistemas de clasificación basados en redes neuronales convolucionales. Sin embargo, con el auge de las...
Uploaded on: March 25, 2023 -
June 2, 2021 (v1)Publication
Automated Fundus image segmentation is tradition-ally done in the image acquisition instrument and, thus, in thiscase it only needs to be able to segment data from this acquisitionsource. Cloud providers support multi GPU and TPU virtualmachines making attractive the idea of cloud-based segmentationan interesting possibility. To implement this...
Uploaded on: March 25, 2023 -
September 3, 2019 (v1)Publication
Este trabajo expone la metodología llevada a cabo para la aplicación de un modelo Deep Learning con el fin de detectar pólipos de forma automática, así como su posición en videos de colonoscopia. Se plantearon diferentes métodos y diversas técnicas que pudieran aplicarse sobre el conjunto de datos proporcionado por el 2018 Sub-challenge...
Uploaded on: March 25, 2023 -
February 2, 2021 (v1)Publication
Background Mobile apps have a great potential to support patients in healthcare, and to encourage healthy behavioral changes such as smoking cessation. Nevertheless, the user rejection levels are still high. A set of factors that has impact on the app effectiveness is related to the quality of those features that lead to positive user...
Uploaded on: December 5, 2022 -
December 18, 2019 (v1)Publication
Glioma is a type of brain tumor that causes mortality in many cases. Early diagnosis is an important factor. Typically, it is detected through MRI and then either a treatment is applied, or it is removed through surgery. Deep-learning techniques are becoming popular in medical applications and image-based diagnosis. Convolutional Neural...
Uploaded on: December 4, 2022