El-Baz A.S., Suri J.S. (eds.) State of the Art in Neural Networks and Their Applications. Volume 2

Academic Press/Elsevier, 2023. — 328 p.State-of-the-Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks (ANN) and their applications across a wide range of clinical diagnoses. The book provides overviews and case studies of advances in the role of Machine Learning, Artificial Intelligence (AI), Deep Learning (DL), mental image processing, and suitable data valuable analytics for clinical diagnosis and research applications. The application of neural networks, Artificial Intelligence, and Machine Learning methods in biomedical image analysis has resulted in the development of computer-aided diagnostic (CAD) systems that aim toward the automatic early detection of several severe diseases.State-of-the-Art in Neural Networks and Their Applications are presented in two volumes. These two volumes written by experienced engineers in the field will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks.Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies.
Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified Deep Learning frameworks, 3D MRI, PET/CT, and more Covers Deep Learning cancer identification from histopathological images, medical image analysis, detection, segmentation, and classification via AI.