Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing

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.

Prasanalakshmi Balaji - Associated with the Department of Computer Science, College of Computer Science, King Khalid University, and she was a research fellow at the Centre for Artificial Intelligence, KKU, and a Postdoctoral researcher in the Data Science Laboratory at the Industrial University of Ho Chi Minh City, Vietnam, and Industrial Optimisation and Applications, Maejo University, Thailand. She mainly investigated artificial intelligence-based data analytics in medical imaging and neural networks. She currently holds six international patents and two Indian patents. She holds project funding from the Deanship of Scientific Research at King Khalid University on Mathematical Modelling in Cancer Imaging using Neural Networks and Medical Data Transmission in the Secure IoT. She has completed two funding projects in the previous years. Artificial intelligence techniques applied to her specialized research publications in cancer research. Her extensive expertise and background in the field of biomedical image processing and artificial intelligence make her a confident and reassuring choice for this book. Her research interests include Neural Networks for Medical Imaging, Deep learning, Machine learning, Data Science, Internet of Things (IoT).

Dr. K. Martin Sagayam , has completed his Ph.D. in the field of image processing, pattern recognition and machine learning. He has authored/ co-authored more number of referred International Journals. He has also presented more number of papers in reputed international and national conferences. He has authored good number of edited book, authored book, book series and more than 15 book chapters with reputed international publishers like Elsevier, Springer, IGI Global and CRC press. He has three Indian patents and three Australian patents for his innovations and intellectual property right. He has appreciated as best reviewer in the journal of Signal, Image and Video Processing, Intelligent Decision Technologies, International Journal of Engineering Research & Technology, Pattern analysis and its applications and Informing Science Institute. He is an active member of professional bodies such as IEEE, Engineering and Scientific Research Groups, International Society of Promising Computer Engineers, Copernicus, Scientific Engineering Research Corporation, International Association of Computer Science and Information Technology, International Association of Engineers, Indian Society of Electronics and Communication Engineering and Orcid. His area of interest includes Communication systems, signal and image processing, machine learning and virtual reality.

Aditi Sharma , Recognized as Senior Member IEEE, Volunteer at IEEE Future Networks, currently working as Associate Professor, Symbiosis Institute of Technology, Symbiosis International University, Pune, worked as Post Doctoral Fellow in School of Engineering and Digital Sciences at Nazarbayev University Kazakhstan in the area of Intelligent Cryptosystems, IOT and cloud in Robotics. 16.5 years of academic and administrative experience with excellence, worked as Associate Professor(CSE) and Institute Coordinator, Patents and Publications at Parul University,Vadodara and Coordinator(Quantum Resonance Center) Quantum University Roorkee etc. Published 118 research papers in international journals SCI,ESCI, Scopus and national/international conferences and authored five books. She has published 9 patents and also having 22 patents grant in her credit. Research area: Cryptography, Block chaining, VLSI, Cellular Automata, Machine Learning, AI chatbots, IOT,artificial intelligence.Life Member of Professional Bodies: Cryptology Society of India, IEANG and N2women society. Serving Conference Chair, General Chair, Technical Programme Committee (TPC) Member and a Reviewer in various Springer, IEEE international conferences, CSNT 2022, DASA'22, IAICT'2022,AIARS 2022,ISI 2022, ICCAIS 2021, ICDSIE- 2020, IAPCS 2020, ICSELM 2017, INAIT 2019,Global Open Online Conference System, WCI'18 and many more. Invited as Resource Person in TEQIP III FDPs and in International conferences. Associate Editor of IAES(IJ-AI), International Journal of Electrical and Computer Engineering (IJECE) Scopus Indexed Journal, Reviewer of Bulletin of Electrical Engineering and Informatics (BEEI) Scopus (Elsevier) and International Journal of Computing and Digital Systems (IJCDS), e-ISSN 2210-142X, Scopus Indexed Journal and Editorial Board Member: IJBST Journal Group and International Journals and Research epublications in Engineering & Science IJRPES, GRD group of journals, Guest Editor of Bentham Science, scopus indexed journal. Faculty Mentor of PROTOCOL AGAINST BLACK BOX ATTACK Block chain based Integrated Forecast, Demand and Supply chain management system for marketplace with the approach of machine learning Smart India Hackathon and 1st AICTE Chatra Vishwakarma Award. Served as Coordinator IIT Bombay Spoken Tutorial, NPTEL, Atal Incubation Center at MITS Jadan.Working as University Examiner for Rajasthan Technical University Kota and Jai Narain Vyas University, Jodhpur. She achieved many awards and scholarships including Nav Shakti Award by North Eastern Council, Ministry of DoNER, Government of India.Parvati-Chanda Devi and Gargi scholarships and Awards from Madan Lal Khurana, Sunil Dutt, APJ Abdul Kalam. She also got Best Teacher Award by Rajasthan Patrika Group.

Korhan Cengiz was born in Edirne, Turkey, in 1986. He received the BSc degrees in Electronics and Communication Engineering from Kocaeli University and Business Administration from Anadolu University, Turkey in 2008 and 2009 respectively. He took his MSc degree in Electronics and Communication Engineering from Namik Kemal University, Turkey in 2011, and the PhD degree in Electronics Engineering from Kadir Has University, Turkey in 2016. Since September 2022, He has been an Associate Professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. Since April 2022, he has been the chair of the research committee of University of Fujairah, United Arab Emirates. Since August 2021, he has been an Assistant Professor at the College of Information Technology in University of Fujairah, UAE. Dr. Cengiz is the author of more than 40 SCI/SCI-E articles including IEEE Internet of Things Journal, IEEE Access, Expert Systems with Applications, Knowledge Based Systems and ACM Transactions on Sensor Networks, 5 international patents, more than 10 book chapters, and 1 book in Turkish. He is editor of more than 20 books.