In this work we implement a COVID-19 infection detection system based on chest X-ray
images with uncertainty estimation. Uncertainty estimation is vital for safe usage of computer …

A key factor in the fight against viral diseases such as the coronavirus (COVID-19) is the
identification of virus carriers as early and quickly as possible, in a cheap and efficient …

Developers proposing new machine learning for health (ML4H) tools often pledge to match
or even surpass the performance of existing tools, yet the reality is usually more …

In the context of the global coronavirus pandemic, different deep learning solutions for
infected subject detection using chest X-ray images have been proposed. However, deep …

Deep learning methodologies have been employed in several different fields, with an
outstanding success in image recognition applications, such as material quality control …

The implementation of deep learning-based computer-aided diagnosis systems for the
classification of mammogram images can help in improving the accuracy, reliability, and cost …

Semisupervised deep learning (SSDL) is a popular strategy to leverage unlabeled data for
machine learning when labeled data is not readily available. In real-world scenarios …

Deep learning models usually need extensive amounts of data, and these data have to be
labeled, becoming a concern when dealing with real-world applications. It is known that …

Fifth-generation (5G) wireless systems increased the bandwidth, improved the speed, and
shortened the latency of communications systems. Various channel models are developed …

Deep learning methodologies have shown outstanding success in different image analysis
applications. They rely on the abundance of labelled observations to build the model …