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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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).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : 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. N° de réf. du vendeur 9798369398210
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Hardcover. Etat : 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. N° de réf. du vendeur 9798369398210
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