Frontiers of Artificial Intelligence in Medical Imaging (ePub)
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This book is designed to consider the recent advancements in hospitals to diagnose various diseases accurately using AI-supported detection procedures. This work examines recent AI-supported disease detection techniques from prominent researchers and clinicians working in the medical imaging processing domain. Within this book, the integration of various AI methods, such as soft computing, machine learning, deep learning, and other related works will be presented. Real clinical images utilizing AI are incorporated. The book also includes several chapters on machine learning, convoluted neural networks, segmentation, and deep learning-assisted two-class and multi-class classification.
Key Features:
- Implementation of machine-learning-assisted disease detection
- Implementation of CNN (Convolutional Neural Networks) based medical image segmentation and assessment
- Implementation of deep-learning-based medical data assessment
- Hybridizing machine learning and deep learning features to enhance detection accuracy
Venkatesan Rajinikanth, is a Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATIC, Chennai, India. He has published over 70 referred journal articles, largely related to medical imaging and image reconstruction through the utilization of machine learning. He has co-edited three books and co-authored one book, "Hybrid Image Processing Methods", CRC Press 2020.
- 2022, 300 Seiten, Englisch
- Herausgegeben: Navid Razmjooy, V. Rajinikanth
- Verlag: Institute of Physics Publishing
- ISBN-10: 0750340126
- ISBN-13: 9780750340120
- Erscheinungsdatum: 29.12.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 19 MB
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