Deep Learning in Biomedical Signal and Medical Imaging

This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, and image processing perspectives.

Auteur

Ngangbam Herojit Singh is presently working as an Assistant Professor at NIT Agartala in the Department of Computer Science and Engineering. He received his Ph.D. degree from the NIT Manipur, and M.Tech and B.Tech from Anna University, Chennai. His area of interest includes machine learning, biomedical image processing, hybrid intelligent system, and mobile robotics. He has published more than 12 referred journals, including SCI and Scopus-indexed journals. Furthermore, he has published many conference papers and book chapters. Dr. Herojit has participated in many international conferences as an organizer and session chair.

Utku Kose received a B.S. degree in 2008 in computer education from Gazi University, Turkey, as a faculty valedictorian; an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, in the field of computer; and a D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey, in the field of computer engineering. Between 2009 and 2011, he worked as a research assistant at Afyon Kocatepe University. Furthermore, he has also worked as a lecturer and vocational school vice director at Afyon Kocatepe University between 2011 and 2012, as a lecturer and research center director at Usak University between 2012 and 2017, and as an assistant professor at Suleyman Demirel University between 2017 and 2019. Currently, he is an Associate Professor at Suleyman Demirel University, Turkey. He has to his credit more than 200 publications, including articles, authored and edited books, proceedings, and reports. He is also on the editorial boards of many scientific journals and serves as one of the editors of the Biomedical and Robotics Healthcare (CRC Press) book series. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, chaos theory, distance education, e-learning, computer education, and computer science.

Sarada Prasad Gochhayat is currently working as an assistant teaching professor at Villanova University, Philadelphia, USA. He has earned his Ph.D. degree in communication engineering from IISc Bangalore, M. Tech. in Signal Processing from IIT Guwahati, and B. Tech. in ECE from ITER, SOA University, Bhubaneswar. He has past working experience as a faculty member at Manipal University, India, and Old Dominion University, Virginia, USA; post-doctoral research experience at the University of Padua, Italy; and Virginia Modeling, Analysis and Simulation Center, Virginia, USA. His research interests include blockchain, privacy in cloud computing, privacy-preserving data analytics, security and privacy in healthcare systems, and security in IoT and 5G networks.