Supervised training of deep learning models requires large labeled datasets. There is a
growing interest in obtaining such datasets for medical image analysis applications …

Preterm births (PTB) affect nearly 15 million kids worldwide. At present, medical fields aim to
reduce the possessions of prematurity rather than avoid it. The cervix is currently measured …

A novel coronavirus disease (COVID-19) is a pandemic disease has caused 4 million
deaths and more than 200 million infections worldwide (as of August 4, 2021). Rapid and …

Word Sense Disambiguation (WSD) refers to the process of discovering the correct sense of
an ambiguous word occurring in a given context. In this paper, we address the problem of …

Abstract Most Word-Sense Disambiguation (WSD) systems rely on machine learning
approaches that require large-scale corpora for effective training. So, the quality of a WSD …

The analysis of extensive electronic health records (EHR) datasets often calls for automated
solutions, with machine learning (ML) techniques, including deep learning (DL), taking a …

Machine learning (ML) has the potential to revolutionize various domains, but its adoption is
often hindered by the disconnect between the needs of domain experts and translating …

As a crucial medical examination technique, different modalities of magnetic resonance
imaging (MRI) complement each other, offering multi-angle and multi-dimensional insights …

Automatic text summarization (ATS) is the process of generating or extracting a shorter text
of the original document while preserving relevant and important information. Nowadays, it …