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Artificial Intelligence in Biomedical Image Processing


About the Series

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:

  • Introduction to Artificial Intelligence and Medical Image Processing
  • Machine Learning Techniques
  • Deep Learning - RNN (Recurrent Neural Network), CNN (Convolutional Neural Network), etc.
  • Evolutionary Computing
  • Medical Imaging and its Modalities
  • Medical Image Enhancement and Restoration Techniques
  • Medical Image Segmentation
  • Feature Extraction and Classification
  • Image Classification and Regression
  • Introduction Programming and Frameworks for AI Implementation: Python, MATLAB, R, Tensorflow, PyTorch, etc.
  • Need of AI in Medical Image Processing
  • Several Case Studies involving the role of AI: Radiogenomics, Brain aging, etc.

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:

[email protected]  [email protected]

2 Series Titles

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Innovative Neurodiagnostics and Therapeutics Understanding and Advancing Treatment for Neurological Disorders

Innovative Neurodiagnostics and Therapeutics: Understanding and Advancing Treatment for Neurological Disorders

1st Edition

Forthcoming

Edited By Pankaj Kalita, Subrata Mondal, Sudip Paul
August 05, 2025

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 ...

Machine Learning for Neurodegenerative Disorders Advancements and Applications

Machine Learning for Neurodegenerative Disorders: Advancements and Applications

1st Edition

Forthcoming

Edited By Biswajit Jena, Sanjay Saxena, Sudip Paul
March 31, 2025

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, ...

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