Machine and deep learning algorithms are rapidly growing in dynamic research of medical
imaging. Currently, substantial efforts are developed for the enrichment of medical imaging …

Choice Recommended Title, January 2021 This book, written by authors with more than a
decade of experience in the design and development of artificial intelligence (AI) systems in …

Big medical data mainly include electronic health record data, medical image data, gene
information data, etc. Among them, medical image data account for the vast majority of …

This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …

Imaging of the human body using a number of different modalities has revolutionized the
field of medicine over the past several decades and continues to grow at a rapid pace. More …

Recently, usage of image processing in machine learning (ML) is growing fast. Medical
image processing, image segmentation, computer-aided diagnosis, image transformation …

Deep learning (DL) approaches to medical image analysis tasks have recently become
popular; however, they suffer from a lack of human interpretability critical for both increasing …

Fully automatic deep learning has become the state-of-the-art technique for many tasks
including image acquisition, analysis and interpretation, and for the extraction of clinically …

With time, AI technologies have matured well and resonated in various domains of applied
sciences and engineering. The sub-domains of AI, machine learning (ML), deep learning …

Artificial intelligence tools, particularly convolutional neural networks (CNNs), are
transforming healthcare by enhancing predictive, diagnostic, and decision-making …