Ranjith Rajamanickam, Amit Sharma, Dhivya Ranjith, J. Paulo Davim
Sērija : Advanced Mechanical Engineering
(Izdošanas datums: 01-Sep-2025, Hardback, Izdevniecība: De Gruyter, ISBN-13: 9783111503189)
Machine Learning for Medical Applications Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critic...Lasīt vairāk
Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Lasīt vairāk
Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the algorithms for FL. It shows how FL allows mul...Lasīt vairāk
Explainable AI in Healthcare Imaging for Medical Diagnoses: Digital Revolution of AI presents the most advanced machine learning and deep learning methodologies in the healthcare domain, with specific focus on learning explainable artificia...Lasīt vairāk
The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, healt...Lasīt vairāk
The book presents a thorough review of state-of-the-art techniques for precise analysis and diagnosis with an emphasis on explainable artificial intelligence and its applications in healthcare. Researchers, academics, business professionals, healt...Lasīt vairāk
Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. Th...Lasīt vairāk
Trustworthy AI in Medical Imaging brings together scientific researchers, medical experts, and industry partners working in the field of trustworthiness, bridging the gap between AI research and concrete medical applications and making it a...Lasīt vairāk
This book serves as source of introductory material and reference for medical application development and related technologies by providing the detail implementation of the cutting-edge deep learning methodologies. It targets the cloud based advance...Lasīt vairāk
The second edition of this book offers six new chapters covering the latest developments in quantitative medical imaging, including artificial intelligence, MRI mapping, sonography, elastography and cardiac CT. All the other existing chapters have...Lasīt vairāk
Short compute times are crucial for timely diagnostics in biomedical applications, but lead to a high demand in computing for new and improved imaging techniques. In this book reconfigurable computing with FPGAs is discussed as an alternative to mult...Lasīt vairāk
Todays healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contr...Lasīt vairāk
This book emphasizes the real-time challenges in medical modalities for variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. Each chapter starts with the introduction, need...Lasīt vairāk
The brain consisting of billions of neurons is probably the most complex and mysterious organ of the body. Understanding the functioning of the brain in its health and disease states has baffled the researchers working in this area for many years. T...Lasīt vairāk
This book explores cutting-edge medical imaging advancements and their applications in clinical decision-making. The book contains various topics, methodologies, and applications, providing readers with a comprehensive understanding of the fields...Lasīt vairāk
