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Book synopsis

State of the Art in Neural Networks and Their Applications, Volume 2 presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book covers provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence, and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume 2: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes 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, and detection, segmentation, and classification via AI

Book details

Book category Books in English Medicine Nursing & ancillary services Biomedical engineering

• Full title: State of the Art in Neural Networks and Their Applications
• Subtitle: Volume 2
• Author: Jasjit Suri, Ayman S.El-Baz
• Language: English
• Binding: Paperback
• Number of pages: 326
• EAN: 9780128198728
• ID: 39300954
• Publisher: Elsevier Science Publishing Co Inc
• Weight: 566 g
• Dimensions: 234 × 192 × 23 mm
• Date of publishing: 01. January 2023

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