Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing

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Prasanalakshmi Balaji K. Martin Sagayam

Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing

Prasanalakshmi Balaji, K. Martin Sagayam, Aditi Sharma , Korhen Cengiz

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Hardback

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English

Medical Information Science Reference
06 August 2025

Medical imaging; Biomedical engineering; Algorithms & data structures

Summary
Details

Metaheuristic algorithms emerge as powerful tools for optimizing complex systems, particularly in neural networks, where traditional methods may cause challenges. In biomedical image processing, the integration of metaheuristics like genetic algorithms, particle swarm optimization, and differential evolution offers promising improvements in neural network performance. These algorithms help improve hyperparameters and optimize architectures, enhancing the accuracy of tasks like disease detection, image segmentation, and classification. Further research into this convergence between metaheuristic optimization and deep learning may help advance medical diagnostics and healthcare technologies. Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing explores the optimization of neural networks for biomedical image analysis. It provides valuable insights into advanced image processing for improved healthcare, advanced technology, and potential scientific and computational breakthroughs. This book covers topics such as medical imaging, genetics, and psychology, and is a useful resource for business owners, computer engineers, medical professionals, academicians, researchers, and data scientists.

Edited by: Prasanalakshmi Balaji, K. Martin Sagayam, Aditi Sharma, Korhen Cengiz
Imprint: Medical Information Science Reference
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm, Spine: 30mm
Weight: 1.143kg
ISBN: 9798337305233
Pages: 530
Publication Date: 06 August 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active