Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the
state-of-the-art in deep learning-based methods for biomedical and health informatics. The …

This book was partially motivated by the recent rapid progress on deep convolutional and
recurrent neural network models and the abundance of important applications in computer …

Deep learning is an essential method of machine learning. Deep learning is rapidly suitable
for the most sophisticated stage of a technology, prominent to enriched performance in …

The emergence of modern imaging techniques and an unprecedented amount of
computational power offers the opportunity to analyze high-dimensional medical imaging …

The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …

Healthcare is a high-priority sector where people expect the highest levels of care and
service, regardless of cost. That makes it distinct from other sectors. Due to the promising …

Recent advancements in deep learning, particularly convolutional networks, have rapidly
become the preferred methodology for analyzing medical images, facilitating tasks like …

Machine learning techniques are essential components of medical imaging research.
Recently, a highly flexible machine learning approach known as deep learning has …

This paper presents a detailed investigation into the application of deep learning
methodologies in the field of medical image analysis, with a focus on enhancing diagnostic …