The science of solving clinical problems by analyzing images generated in clinical practice
is known as medical image analysis. The aim is to extract information in an affective and …

Brain tumor is one of the most dangerous cancers in people of all ages, and its grade
recognition is a challenging problem for radiologists in health monitoring and automated …

Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …

Artificial intelligence is currently a hot topic in medicine. However, medical data is often
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …

Abstract Wireless Capsule Endoscopy (WCE) is a patient-friendly approach for digestive
tract monitoring to support medical experts towards identifying any anomaly inside human's …

This chapter introduces the various methods existing beneath the umbrella of deep learning
paradigm, their intricate details, and their applications in various fields. Deep learning has …

Alzheimer's Disease (AD) is the most common form of dementia. It gradually increases from
mild stage to severe, affecting the ability to perform common daily tasks without assistance. It …

Deep learning is frequently used to classify medical images. Surgeons may know the type of
tumor before doing surgery on a patient. Transfer learning was used to alleviate the …

In medical applications, retrieving similar images from repositories is most essential for
supporting diagnostic imaging-based clinical analysis and decision support systems …

Over the past few years, the widespread outbreak of COVID-19 has caused the death of
millions of people worldwide. Early diagnosis of the virus is essential to control its spread …