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Detalles bibliogr�ficos

T�tulo: Medical Image Processing: Multimodal Fusion Techniques (Mathematical Methods in the Digital Age, 1)
Editor: De Gruyter (edition 1)
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 3111395499
ISBN 13: 9783111395494
Encuadernaci�n: Hardcover
Edici�n: 1.
Estado: Very Good

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Sinopsis

The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms.

This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth.

The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis.

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Dr. Satya Prakash Yadav (SMIEEE) is currently the Associate Professor of the School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida (India) and has completed his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Cear�, Brazil. He has been awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 6 students are working for Ph.D. under his guidance. A seasoned academician having more than 17 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published six patents and authored many research papers in web of science indexed journals. Additionally, His area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A), Lead Editor in Tech Science Press (Computer Systems Science and Engineering), International Journal of Experimental Research and Review, Measurement : Sensors (Elsevier Publisher) and Journal of Electrical Systems (JES).

Dr. Abhishek Kumar is currently working as an Assistant director /Associate professor in the Computer science & Engineering Department in Chandigarh University, Punjab, India. He holds a Doctorate in computer science from University of Madras and is a Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has done MTech in Computer Sci. & Engineering and B.Tech in I.T. from, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 13 years along with 2 years teaching assistantship. He has more than 170 publications in reputed, peer reviewed National and International Journals, books & Conferences He has guided more than 30 MTech Projects at national and International level and 4 PhD Scholar Completed their Degree under his Guidance. His research area includes- Artificial intelligence, Renewable Energy Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 7 books published internationally and edited 45 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He has been a member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE , IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors).He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is serving as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age with Degruyter Germany

Dr. Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a Postdoctoral Fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain. Dr. Dubey earned his BE and M.Tech degrees in Computer Science and Engineering from RGPV, Bhopal, Madhya Pradesh. He completed his PhD in Computer Science and Engineering at JK Lakshmipat University in Jaipur, Rajasthan, India. He is a Senior Member of both IEEE and ACM and possesses more than 15 years of teaching experience. Dr. Dubey has authored and edited fifteen books and has published over 60 articles in peer-reviewed international journals and conference proceedings. He serves as an Editor, Editorial Board Member, and Reviewer for numerous peer-reviewed journals. His research interests encompass Machine Learning, Renewable Energy, Health Informatics, Nature-Inspired Algorithms, Cloud Computing, and Big Data.

Prof. Dr. Victor Hugo C. de Albuquerque (Senior Member of IEEE) is currently a Professor and Senior Researcher at the Department of Teleinformatics Engineering (DETI)/Graduate Program in Teleinformatics Engineering (PPGETI) at the Federal University of Cear� (UFC), Brazil. He earned a Ph.D in Mechanical Engineering from the Federal University of Para�ba (UFPB, 2010), a MSc in Teleinformatics Engineering from the PPGETI/UFC (UFC, 2007). He completed a BSE in Mechatronics Engineering at the Federal Center of Technological Education of Cear� (CEFETCE, 2006). He has experience in Biomedical Science and Engineering, mainly in the research fields of: Applied Computing, Intelligent Systems, Visualization and Interaction, with specific interest in Pattern Recognition, Artificial Intelligence, Image Processing and Analysis, as well as Automation with respect to biological signal/image processing, biomedical circuits and human/brain-machine interaction, including Augmented and Virtual Reality Simulation Modeling for animals and humans. Prof. Victor is a full Member of the Brazilian Society of Biomedical Engineering (SBEB). He is Editor-in-Chief of the Journal of Artificial Intelligence and Systems, and Journal of Biological Sciences, as well as Associate Editor of the IEEE Journal of Biomedical and Health Informatics; Computers in Biology and Medicine; Frontiers in Cardiovascular Medicine; Computational Physiology and Medicine; Applied Soft Computing; IEEE Access, Frontiers in Communications and Networks, Computational Intelligence and Neuroscience, Measurement, IET Quantum Communication, and he has been Lead Guest Editor of several high-reputed journals, and TPC member of many international conferences.

Prof. Dr. Adrian Rodriguez-Agui�aga was born on July 12, 1986, in Mexico. He is a engineer with a Bachelor's degree in Computer Systems Engineering and a Doctorate in Engineering Sciences, both from the Technological Institute of Tijuana, as well as a Master's degree in Digital Systems Sciences from IPN. Adrian is a titular professor in the San Diego Global Knowledge University and UABC, he has held pivotal roles such as Head of the Office of Linkage Projects and founder of the IT-Hub for software project development at the Technological Institute of Tijuana. He has taught at prestigious institutions like Cetys University and has spearheaded innovative projects in areas like machine learning, affective computing, and Industry. He has also collaborated on technological projects with companies and institutions, including the Transparency Institute of Baja California and SMK electronics. Recognized by the National System of Researchers and with a desirable profile from PRODEP, his passion and commitment to technology and education position him as a leader in the academic and professional world.

Dr. Dra. Angeles Quezada, Doctorate in Sciences from the Autonomous University of Baja California, Master's degree in Computer Science from the Technological Institute of Tijuana, Bachelor's degree in Computer Science from the Technological Institute of Tapachula, Chiapas. She is currently a research professor in the Master's Degree in Information Technologies at the Tijuana Technological Institute, where she participates in research projects, teaches and directs thesis. She is the author of various scientific publications including indexed journals, book chapters and conference articles. She is a member of the National System of Researchers SNI level 1 and a member of the Mexican Thematic Network of Software Engineering (REDMIS). Area of specialty Human Computer Interaction, particularly developments for people with different disabilities, Artificial Intelligence and Machine Learning.

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