Advancements in Bio-medical Image Processing and Authentication in Telemedicine. Este artículo no está disponible.Advancements in Bio-medical Image Processing and Authentication in Telemedicine

As technology continues to develop, the healthcare industry must adapt and implement new technologies and services. Recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine must be considered to ensure patients receive the best possible care. Advancements in Bio-Medical Image Processing and Authentication in Telemedicine introduces recent advancements, opportunities, and challenges for bio-medical image processing and authentication in telemedicine and discusses the design of high-accuracy decision support systems. Covering key topics such as artificial intelligence, medical imaging, telemedicine, and technology, this premier reference source is ideal for medical professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Rijwan Khan received his B. Tech Degree in Computer Science & Engineering from BIT, M. Tech in Computer Science & Engineering from IETE, and Ph.D.in Computer Engineering from Jamia Millia Islamia, New Delhi. He has 17 years of Academic & Research Experience in various areas of Computer Science. He is currently working as Professor in the Department Computer Science and Engineering at Galgotias University, G. B. Nagar, U.P. He is author of three subject books. He published more than 460 research papers in different journals and conferences. He has been nominated in the board of reviewers of various peer-reviewed and refereed Journals. He is Editor of five research books. He is Editor of seven special issues of SCI and Scopus indexed journals. He was session chaired in three International conferences & Keynote speakers in some the national and International conferences

Indrajeet Kumar received his B Tech in Computer Science & Engineering from Sant Longowal Institute of Engineering and Technology, Punjab in 2009 and M Tech in Computer Engineering with specialization in Computer Network from YMCA University of Science & technology, Faridabad in 2013. He received his PhD on Analysis and Classification of Breast density classification using Mammographic images from GB Pant Institute of Engineering & Technology, Ghurdauri,Uttarakhand, India in 2019. During his PhD he worked on enhancing the potential of most commonly available Breast density classification for differential diagnosis between atypical cases of focal density cases. He served in academia in various reputed organizations like Galgotias Institutions, Greater Noida, U.P, India and graphic era hill University, Dehradun, India, for 6 years. His research interests include application of machine learning, Deep Learning and soft computing techniques for analysis of medical images.