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Biomedical Signal and Image Processing with Artificial Intelligence

Editorial Board
Lead Guest Editors:
  • Dr. Chirag Paunwala (Professor, E&C Department, SCET)
Guest Editors:
  • Rahul Kher (G H Patel College of Engineering & Technology,)
  • Mita Paunwala (Gujarat Technological University)
  • Dr. Falgun Thakkar (G H Patel College of Engineering and Technology)
  • Heena Kher (A. D. Patel Institute of Technology)
  • Mohammed Atiquzzaman (University of Oklahoma, USA)
  • Norliza Mohd Noor (Universiti Teknologi Malaysia)
Aims & Scope
This book mainly focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of Biomedical signal and image processing. This is the era of the Internet of Things, cloud computing, and Artificial Intelligence for biomedical signals and images. This book will provide a great platform to the researchers who are working in the area of Artificial Intelligence for biomedical applications. Biomedical data analysis plays a very important role in research as well as in clinical purpose for different types of diagnosis. Moreover, processing a huge amount of data is a challenging task that requires parallel processing. For advanced level research, deep learning-based approaches have been adopted by researchers for the last few years. Contributions for this book will cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies.
Topics: ● Cancer Recognition using Artificial Intelligence ● Detection of Neuronal Disorders ● Mind reading using Artificial Intelligence ● Prediction of heart disease using machine learning algorithms ● Fetal growth monitoring using image analysis ● Brain-Computer Interface ● Tumor Detection using AI ● COVID-19 Detection using Medical Imaging ● 3-D Rendering ● Arrhythmia Detection using ECG Signals ● Human-Computer Interface using EMG or EOG ● Retinal Images for Disease Detection ● Intelligence in Medical ● Tonsillitis Image Analysis ● Dental Image Processing ● Medical Data Security using AI ● Optimization Techniques for Biomedical Signals and Images ● Big Data Analysis for biomedical applications
Keywords
Artificial Intelligence, Machine Learning, Multidimensional biomedical imaging, Signal Processing, Cancer Detection, Multilabel Classification, Medical Image Analysis, Medical Image Security, Medical image Segmentation

Manuscript submission deadline:
2021-04-08
Notification of acceptance:
2021-04-15
Submission of final revised paper:
2021-04-30
Publication of special issue (tentative):
2021-12-31

Publication:
EAI/Springer ICC Series
Submission Closed