Medical image classification, a critical component in medical diagnostics, has significantly
advanced through the integration of machine learning (ML) and deep learning (DL) …

Medical image classification plays a pivotal role in modern healthcare, aiding in accurate
disease diagnosis, treatment planning, and patient management. With the advent of deep …

In contemporary healthcare, medical image categorization is essential for illness prediction,
diagnosis, and therapy planning. The emergence of digital imaging technology has led to a …

Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …

Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI)
and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an …

Deep Learning has become a well-known research field over the last several years. It is a
kind of Machine Learning, which is an offshoot of Artificial Intelligence. It can possibly rebuild …

Machine learning (ML) has seen enormous consideration during the most recent decade.
This success started in 2012 when an ML model accomplished a remarkable triumph in the …

With every passing minute, new promising technologies provide us with more efficient and
advanced techniques for transforming and enhancing of healthcare (HC) analytics. Medical …

In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Recently, a machine learning (ML) area called deep learning emerged in the computer-
vision field and became very popular in many fields. It started from an event in late 2012 …