This series aims to promote the newest cutting-edge AI-driven research in medical image processing and analysis, including the basic core concepts. It covers novel algorithms, techniques, architectures, and applications of Artificial Intelligence in Medical Image Analysis. The series would have different aspects of AI in medical image analysis such as machine and deep learning models for medical image enhancement, restoration, registration, classification, visualization, prediction, and fuzzy and rough sets in medical image analysis, swarm intelligence, and many more. This series aims to draw the attention of researchers and scientists worldwide who work in medical image processing. The series aim to supplement the information of different artificial intelligence methods, different programming and valuable frameworks, and AI applications in studies based on biomedical, medical image processing.
Major Themes:
Submission Procedure:
Book Proposals will be reviewed and selected based on their quality and relevance to the theme of the series. A submitted book proposal should not have been published previously nor be under consideration for publication elsewhere. Instructions for the authors are available at:
https://www.routledge.com/our-customers/authors/how-to-publish-with-us
The interested authors/editors are requested to send their willingness to the email: [email protected]
Series Webpage Link:
https://www.routledge.com/Artificial-Intelligence-in-Biomedical-Image-Processing/book-series/CRCAIBIP
For Contact & Queries:
Edited
By Pankaj Kalita, Subrata Mondal, Sudip Paul
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This book presents the latest technological advancements in the understanding and diagnosis of neurological disorders. The chapters provide the complexities of diagnosis, understanding pathogenesis, and unveiling the latest therapeutic strategies against neurodegenerative disorders. The book also ...
Edited
By Biswajit Jena, Sanjay Saxena, Sudip Paul
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This book explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, ...