Background Breast cancer is a highly heterogeneous disease that comprises multiple
biological components. Owing its diversity, patients have different prognostic outcomes; …

Lung cancer is one of the most prevalent diseases worldwide, being the most common type
of cancer. Non-small cell lung cancer (NSCLC) with a five-year survival rate of less than …

Abstract Background: The World Health Organization (WHO) establishes as a top priority the
early detection of respiratory diseases. This detection could be performed by means of …

Cardiovascular diseases (CVDs) remain a leading cause of death globally. According to the
American Heart Association, approximately 19.1 million deaths were attributed to CVDs in …

Unsupervised keyphrase extraction (UKE) aims to detect out a set of keyphrases of a
document without using any annotation signal for training the UKE model. Existing UKE …

Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is
critical for the treatment and survival of patients. The symptoms, like dry cough and dyspnea …

Deep learning can be used for audio signal classification in a variety of ways. It can be used
to detect and classify various types of audio signals such as speech, music, and …

This paper proposes a serial hardware architecture of a multilayer perceptron (MLP) neural
network for real-time wheezing detection in respiratory sounds. As an established …

Fluid dynamics problems are characterized by being multidimensional and nonlinear.
Therefore, experiments and numerical simulations are complex and time-consuming …

A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either
cancerous or benign. The first implementations involved the use of machine learning …