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Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images - Hardcover

 
9798369398210: Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images

Synopsis

With the increasing reliance on telemedicine, ensuring the secure transmission of medical images is crucial for protecting patient privacy and maintaining the integrity of healthcare data. Unauthorized access, data tampering, or loss can compromise diagnoses and treatment decisions, making robust security measures essential. Techniques such as encryption, steganography, and deep learning-based image recognition help safeguard medical images from cyber threats while ensuring authorized healthcare professionals can access critical information. As telemedicine continues to expand, developing advanced methods for securely transmitting 2D and 3D medical imaging is vital for maintaining trust and efficiency in remote healthcare services. Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images discusses textual image recognition using machine learning/deep learning-based methods. It also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine. Covering topics such as medical safety systems, pharmacy data, and confidentiality, this book is an excellent resource for medical administrators, medical practitioners, data scientists, cybersecurity professionals, professionals, researchers, scholars, academicians, and more.

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About the Authors

Binay Kumar Pandey is an Assistant Professor at Govind Ballabh Pant University of Agriculture and Technology in Pantnagar, Uttarakhand, India. He obtained his education qualification in the field of Information Technology, with a focus on Bioinformatics, image processing, and high-performance computing. In 2005, he received his first degree in B. Tech. from IET Lucknow (Uttar Pradesh Technical University, Uttar Pradesh, Lucknow), India. He started working as an assistant professor in the department of information technology at Govind Ballabh Pant University of Agriculture and Technology in Pantnagar in 2010 and has since worked on a wide range of UG and PG projects. He has over a decade of experience in the fields of teaching and research. He has over 70 publications in prestigious journals, including those from renowned publishers Springer, Inderscience, Taylor & Francis (SCIE/Scopus Indexed Journals, and others), as well as three patents published in the Indian official journal of patents and two patents published in the Australian official journal of patents. He is also an editor of scientific books published by international publishers such as NOVA International. He has received numerous awards, including the PM Scholarship, among others. He chaired a session at the IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI-2020) on December 30, 2020, hosted by Pankaj Laddhad Institute of Technology and Management Studies in Buldhana, Maharashtra, India, and is a reviewer for SCI/Scopus indexed journals published by Springer, Wiley, Inder Science, Tech Science Publishers, Elsevier, and several others. He is an associate editor of SN Social Sciences, a multidisciplinary journal published by Springer Nature and Partners Universal International Research Journal (PUIRJ).

A. Shaji George Cooperate advisory board of trustees as a Deputy Vice President (Administration) West Coast University International, Nigeria, West Africa. Trainer and Counsellor of the National Human Rights and Humanitarian Federation -NHRF, Kerala India. A recognized technical expert in ICT Systems, Network & Telecommunication, designed and deployed large scale ICT projects. Having published more than sixty research papers in National and International Journals with impact factors, his research interests include Wireless, Networking, Cloud Computing, Image Processing Big Data, IoT and industrial automation systems.

Sameer Tiwari is a highly dedicated and established biological scientist with 16 years of research experience in diverse areas relevant to infectious diseases, and gastrointestinal disorders. After his master’s in microbiology, he learned molecular techniques, research skills, and drug testing from nationally importance research institutions. He started his research career with a doctoral study focused on the role of mycobacterial kinases in pathogenicity. His postdoctoral work involves the role of autophagy in maintaining homeostasis in intestinal goblet cells, investigating virulence factors of mycoplasma infection in mammary glands, serving several prestigious institutions around the globe, such as CSIR-Central Drug Research Institute, India; PGIMER Chandigarh, India; University of Calgary, Canada, and Hebrew University of Jerusalem, Israel. Moreover, during the COVID-19 pandemic, he served as a scientist and founding member of a BSL2 laboratory and played a significant role in the SARS-Cov2 diagnosis from patient samples by RT-PCR. Currently, he is associated with George Mason University, Virginia, USA as a postdoctoral scientist focused on investigating the antiviral mechanisms that prevent HIV from invading target cells. He has accomplishments include presenting at several national and international conferences and publishing several manuscripts as author and co-author in reputed journals.

Salah A Albermany is working as senior Professor in Department of Computer Science, Faculty of Computer Science and Mathematics, Kufa University, Iraq. In expert in field of Algorithms Computer Communications (Networks) Computer Security and Reliability. Skills and expertise Authentication Cryptography Network Security Computer Networks Security Applied Cryptography Algorithm Analysis Wireless Security Algorithms Encryption Digital Signature Number Theory Algebraic Number Theory Algebraic Cryptography

Ho Sy Hung is currently a lecturer at Hong Duc University, Vietnam. His position is the head of the department of pre-school education of Hong Duc University. He has been teaching in the education field for more than 10 years. He has a PhD in educational science from Hanoi National University of Education in 2020. This is the best quality pedagogical school in Vietnam. He spends most of my time teaching and researching education, especially early childhood education

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Hardcover. Condition: new. Hardcover. With the increasing reliance on telemedicine, ensuring the secure transmission of medical images is crucial for protecting patient privacy and maintaining the integrity of healthcare data. Unauthorized access, data tampering, or loss can compromise diagnoses and treatment decisions, making robust security measures essential. Techniques such as encryption, steganography, and deep learning-based image recognition help safeguard medical images from cyber threats while ensuring authorized healthcare professionals can access critical information. As telemedicine continues to expand, developing advanced methods for securely transmitting 2D and 3D medical imaging is vital for maintaining trust and efficiency in remote healthcare services. Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images discusses textual image recognition using machine learning/deep learning-based methods. It also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine. Covering topics such as medical safety systems, pharmacy data, and confidentiality, this book is an excellent resource for medical administrators, medical practitioners, data scientists, cybersecurity professionals, professionals, researchers, scholars, academicians, and more. "This book also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798369398210

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Hardcover. Condition: new. Hardcover. With the increasing reliance on telemedicine, ensuring the secure transmission of medical images is crucial for protecting patient privacy and maintaining the integrity of healthcare data. Unauthorized access, data tampering, or loss can compromise diagnoses and treatment decisions, making robust security measures essential. Techniques such as encryption, steganography, and deep learning-based image recognition help safeguard medical images from cyber threats while ensuring authorized healthcare professionals can access critical information. As telemedicine continues to expand, developing advanced methods for securely transmitting 2D and 3D medical imaging is vital for maintaining trust and efficiency in remote healthcare services. Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images discusses textual image recognition using machine learning/deep learning-based methods. It also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine. Covering topics such as medical safety systems, pharmacy data, and confidentiality, this book is an excellent resource for medical administrators, medical practitioners, data scientists, cybersecurity professionals, professionals, researchers, scholars, academicians, and more. "This book also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine"-- Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798369398210

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