In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …

Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

Sentiment analysis, commonly known as “opinion mining,” aims to identify sentiment
polarities in opinion texts. Recent years have seen a significant increase in the acceptance …

Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease,
decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the …

Determining the aggressiveness of gliomas, termed grading, is a critical step toward
treatment optimization to increase the survival rate and decrease treatment toxicity for …

The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …

This research develops the TB/non-TB detection and drug-resistant categorization diagnosis
decision support system (TB-DRC-DSS). The model is capable of detecting both TB …

Illness due to infectious diseases has been always a global threat. Millions of people die per
year due to COVID-19, pneumonia, and Tuberculosis (TB) as all of them infect the lungs. For …

Biomedical images contain a large volume of sensor measurements, which can reveal the
descriptors of the disease under investigation. Computer-based analysis of such …