State of the Art in Neural Networks and Their Applications (eBook, ePUB)

Volume 2
Redaktion: Suri, Mba; S. El-Baz, Ayman

• Format: ePub

Produktbeschreibung

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book 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 One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer'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, detection, segmentation and classification via AI

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 326
• Erscheinungstermin: 29. November 2022
• Englisch
• ISBN-13: 9780128199121
• Artikelnr.: 66754668

Inhaltsangabe

1. Microscopy Cancer Cell Imaging in B-Lineage Acute Lymphoblastic Leukemia
2. Computational Applications in Brain and Breast Cancer
3. Deep Neural Networks and Advanced Computer Vision Algorithms in The
Early Diagnosis of Skin Diseases
4. An Accurate Deep Learning-Based CAD System For Early Diagnosis Of
Prostate Cancer
5. Adaptive Graph Convolutional Neural Network and its Biomedical
Applications
6. Deep Slice Interpolation via Marginal Super-Resolution, Fusion and
Refinement
7. New Explainable Deep CNN Design for Classifying Breast Tumor Response
over Neoadjuvant Chemotherapy 
8. Deep Learning Interpretability: Measuring The Relevance of Clinical
Concepts in CNN Features
9. Computational Lung Sound Classification: A Review
10. Clinical Applications of Machine Learning in Heart Failure
11. Role of AI and Radiomics in Diagnosing Renal Tumors: A Survey
12. Texture-Centric Diagnostic Models for Thyroid-Cancer Using
Convolutional Neural Networks: Bridging the Gap Between Radiomics and
Microscopic Domains