State of the Art in Neural Networks and Their Applications: Volume 2

The book provides overviews and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics for clinical diagnosis and research applications. The application of neural network, artificial intelligence, and machine learning methods in biomedical image analysis has resulted in the development of computer-aided diagnostic (CAD) systems that aim to automatically early detect several severe diseases.

Format: Paperback / softback
Length: 326 pages
Publication date: 02 December 2022
Publisher: Elsevier Science Publishing Co Inc

The state-of-the-art in neural networks and their applications is explored in depth in Volume Two of this comprehensive publication. This volume presents the latest advancements in artificial neural networks and their diverse range of clinical diagnoses. It offers comprehensive overviews and in-depth case studies that highlight the significant role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics in advancing clinical diagnosis and research applications.

The application of neural networks, artificial intelligence, and machine learning methods in biomedical image analysis has led to the development of computer-aided diagnostic (CAD) systems. These systems aim to automate the early detection of several severe diseases, revolutionizing healthcare.

State of the Art in Neural Networks and Their Applications is divided into two volumes. Volume One: Neural Networks in Oncology Imaging focuses on lung cancer, prostate cancer, and bladder cancer, providing detailed insights into these diseases and their imaging characteristics. Volume Two: Neural Networks in Brain Disorders and Other Diseases explores a wide range of brain disorders, including autism spectrum disorder, Alzheimer's disease, attention deficit hyperactivity disorder, hypertension, and many more. Written by experienced engineers in the field, these two volumes serve as valuable resources for engineers, computer scientists, researchers, and clinicians seeking to understand the technology and applications of artificial neural networks.

By delving into the latest developments and case studies, this publication empowers professionals to leverage the power of neural networks in healthcare and research, leading to improved patient outcomes and groundbreaking discoveries.

Weight: 692g
Dimension: 234 x 192 x 23 (mm)
ISBN-13: 9780128198728