ABOUT BOOK (Nova Publishers)
The field of biomedical image processing has undergone significant advancements in recent years. Deep neural networks have shown remarkable promise in tasks ranging from medical image analysis to disease diagnosis and treatment planning. However, the effectiveness of neural networks heavily relies on their architecture and hyperparameters, making optimization a crucial step in achieving superior performance. This book highlights the exciting realm of optimizing neural networks using an inspired metaheuristic strategy, exploring its application to biomedical image processing. The book strives to offer a comprehensive exploration of a novel approach to optimizing neural networks for biomedical image analysis. By combining the power of metaheuristic algorithms with insights from the world of biomedical imaging, this book provides valuable insights and perfect guidance for researchers, practitioners, and students in the field. The fusion of advanced technology and medical science holds immense potential for improving healthcare outcomes, and this book serves as a roadmap to unlock that potential.
TENTATIVE CHAPTERS
Metaheuristic Algorithms in Medical Imaging
Deep Learning in Medical Imaging
Metaheuristic Optimisation strategies
Application areas of Metaheuristic Optimisation algorithms
Optimizing deep learning in BIP
Human-inspired algorithms applications in BIP
Nature and bio-inspired algorithms in BIP
Physics- inspired algorithms in BIP
Swarm- inspired algorithms in BIP
Evolution – inspired algorithms in BIP
Game –inspired algorithms in BIP
EDITORS
Pethuru Raj PhD
Vice President & Chief Architect
Edge AI Division, Reliance Jio Platforms Ltd.
Bangalore, India.
Prasanalakshmi Balaji PDF
Department of Computer Science,
College of Computer Science,
King Khalid University,
Abha, Saudi Arabia.
Chellammal Surianarayanan PhD
Department of Computer Science,
Bharathidasan University,
Tiruchirappalli,
India.