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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 ...
Ponencia
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 only needs to be able to segment data from this acquisitionsource. Cloud providers support multi GPU ...
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 ...
Artículo
COVID-XNet: a custom Deep Learning system to diagnose and locate COVID-19 in chest X-ray images
(MDPI, 2020-08)
The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is crucial in order to prevent new outbreaks and control its rapid spread. Medical imaging techniques, ...
Artículo
PROMETEO: A CNN-based computer-aided diagnosis system for WSI prostate cancer detection
(IEEE Computer Society, 2020)
Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has dropped in the last decades, it is still a major concern and one of the leading causes of cancer ...