Biomedical Signal and Image Processing with Artificial Intelligence
Springer International Publishing (Verlag)
978-3-031-15818-6 (ISBN)
This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions 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. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications.
- Provides insights into medical signal and image analysis using artificial intelligence;
- Includes novel and recent trends of decision support system for medical research;
- Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.
Dr. Chirag N. Paunwala is working as a Professor, EC Department, and Dean R&D, Sarvajanik College of Engineering and Technology, Surat. His research interests include Image Processing, Pattern Recognition, Deep Learning, and Medical Signal Processing. He has published more than 60 research publications in reputed conferences, Journals and Book Chapters. He is the first recipient of the Regional Meritorious Service Award by the IEEE Signal Processing Society, USA in 2017. He has also served as a Chairman, SPS Chapter, Gujarat Section and winner of "Best Chapter Award" consecutively three times during his tenure. He was Chapter Chair Coordinator for IEEE, SPS, USA for year 2019. Currently He is volunteering as a Vice-Chair for IEEE Gujarat Section. He is a reviewer for many reputed journals like IEEE, Elsevier and Springer. He served as Technical Program Chair for Signal and Image processing track for reputed conferences like INDICON, TENSYMP, TENCON etc.
Dr. Mita Paunwala received B. E (Electronics) from Sarvajanik College of Engineering and Technology, Surat in 1999, M.Tech. (Communication System) from Sardar Vallabhbhai National Institute of Technology, Surat in 2008 and Ph.D degree from NIT, Surat, India in 2014. She is Associate Professor at the Electronics and Communication Engineering Department, CKPCET, Surat, India. She has teaching and research experience of over 20 years. Her area of interest is Image, Video and Signal Processing, Pattern Recognition, Machine Learning, Deep learning and Healthcare systems. She has published more than 25 research papers in various renowned conferences, Journals and Books. She is a Vice Chair of IEEE Signal Processing Society, Gujarat chapter for duration 2019 to 2021. She has reviewed many papers of renowned journals from IET, Springer, Elsevier, IEEE Access etc.
Dr. Rahul Kher received B.E (Electronics) from Sardar Patel University in 1997, M.Tech (Electrical Engineering) from Indian Institute of Technology, Roorkee in 2006 and Ph.D (Electronics & Communication Engineering) from Sardar Patel University in 2014. He has a teaching and research experience of over 21 years. His research interests include Biomedical Signal and Image Processing, Medical image analysis and Healthcare monitoring systems. He has published four books and more than 70 research papers in various international journals and conferences. He is a Senior Member of IEEE and was the founder Secretary of Signal Processing Society (SPS) Chapter of IEEE Gujarat Section during 2013-2015. He has been on the Reviewer Panel/ TPC member of many International Journals and conferences including the IEEE Communication Society Magazine, Journal of Biomedical Signal Processing and Control (Elsevier), Journal of Computer Networks (Elsevier), International Journal of Advanced Intelligence Paradigms (Inderscience), Biomedical Engineering: Application, Basis and Communication (World Scientific), 1st Global IoT Summit (GIoTS 2017), Geneva, Switzerland, 3rd Global IoT Innovation Forum, Barcelona, Spain, 3rd Annual Int. Conf. on Wireless Comm. and Sensor Networks (WCSN 2016), 2016 IEEE World Forum on Internet of Things (WF-IoT), Virginia, US and many more. He has visited Japan, USA and UK for various academic purposes.
Dr. Falgun Thakkar obtained Ph.D. from National Institute of Technology Allahabad in February 2018. He graduated from Birla Vishvakarma Mahavidyalaya (BVM) in 2004 and completed his Masters of Engineering in Communication from GCET, S P University V V Nagar in 2010. Dr. Falgun has published more than 25 research articles in various International and National Journals and Conferences. He has served as reviewer of many international journals and conferences of repute. He has published a book in the domain of Compressed Sensing based ECG Signal Compression. His areas of interest include Antenna design, HF transmission line, Microwave Engineering, Wavelet based image and sig
Introduction.- Lung Classification for Covid-19.- Inspection and Test in Hemodialysis arena.- Applications of Artificial Intelligence in Medical Images Analysis.- Parameter efficient Epileptic seizure detection.- Early lung cancer detection by using an artificial intelligence system.- Decision Making Biomedical Support Systems.- Intelligent Image Segmentation Methods using Deep Convolutional Neural Networks.- Early detection of Dyslexia.- Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction.- An optimal model selection for COVID 19 disease classification.- Histopathology Whole-Slide Image Analysis for Breast Cancer Detection.- Analysis and Classification of Impaired Speech.- Imaging technologies for early detection of breast cancer.- VLSI implementation of sEMG based classification for muscle activity control.- An Object Aware Hybrid U-Net for Breast Tumour Annotation.- Guide to scrutinize the analysis tool for biomedical signals.- Real-time COVID-19 Prediction using Chest X-ray and AI.- Classification of Primary Benign and Primary Malignant Focal Liver Lesions in Spatial and NSCT domain.- Ultrasound Image Analysis using AI.- Conclusion.
| Erscheinungsdatum | 12.01.2024 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | XIII, 419 p. 247 illus., 204 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 664 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Artificial Intelligence in Medical Images Analysis • Biomedical Image Processing with Artificial Intelligence • Biomedical Signal Processing with Artificial Intelligence • Decision Making Biomedical Support Systems • Ultrasound Image Analysis using AI |
| ISBN-10 | 3-031-15818-0 / 3031158180 |
| ISBN-13 | 978-3-031-15818-6 / 9783031158186 |
| Zustand | Neuware |
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