09493nam a2200913 i 4500 on1237707833 EBZ 20251029170609.0 m d cr cnu---unuuu 210217t20222022flua obf 001 0 eng 2021008117 EBZ eng EBZ 20210143479 can GBC1B5585 bnb 020266450 Uk 9781003144694 electronic book 1003144691 electronic book 9781000370492 electronic book 1000370496 electronic book 9781000370454 electronic book 1000370453 electronic book 9781771889988 hardcover 9781774638170 paperback 10.1201/9781003144694 doi 9781000370492 Ingram Content Group 9781003144694 Taylor & Francis lac R855.3 .H355 2022 RC78.7.D53 H36 2021 W 26.5 MED 009000 bisacsh MQW bicssc cci1icc lacc MAIN Handbook of deep learning in biomedical engineering and health informatics / edited by E. Golden Julie, PhD, Y. Harold Robinson, PhD, S. M. Jaisakthi, PhD. Deep learning in biomedical engineering and health informatics First edition. Palm Bay, FL : Apple Academic Press Inc. ; Boca Raton, FL : CRC Press, 2022. ©2022 1 online resource (xxv, 318 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier textual sapdv EBSCOhost Biomedical engineering: techniques and applications Includes bibliographical references and index. Review of Existing Systems in Biomedical Using Deep Learning Algorithms / M. Sowmiya, C. Thilagavathi, M. Rajeswari, R. Divya, K. Anusree, and Shyam Krishna -- An Overview of Convolutional Neural Network Architecture and Its Variants in Medical Diagnostics of Cancer and COVID-19 / M. Pavithra, R. Rajmohan, T. Ananth Kumar, and S.G. Sandhya -- Technical Assessment on Various Image Stitching Techniques: A Deep Learning Approach / M. Anly Antony, R. Satheesh Kumar, G.R. Gnana King, V. Yuvaraj, and Chidambaranathan -- CCNN: A Deep Learning Approach for an Acute Neurocutaneous Syndrome via Cloud-Based MRI Images / S. Arunmozhi Selvi, T. Ananth Kumar, and R.S. Rajesh -- Critical Investigation and Prototype Study on Deep Brain Stimulations: An Application of Biomedical Engineering in Healthcare / V. Milner Paul, S.R. Boselin Prabhu, T. Jarin, and T. Ananth Kumar -- Insight into Various Algorithms for Medical Image Analyzes Using Convolutional Neural Networks (Deep Learning) / S. Sundaresan, K. Suresh Kumar, V. Kishore Kumar, and A. Jayakumar -- Exploration of Deep RNN Architectures: LSTM and GRU in Medical Diagnostics of Cardiovascular and Neuro Diseases / R. Rajmohan, M. Pavithra, T. Ananth Kumar, and P. Manjubala -- Medical Image Classification and Manifold Disease Identification Through Convolutional Neural Networks: A Research Perspective / K. Suresh Kumar, A.S. Radhamani, S. Sundaresan, and T. Ananth Kumar -- Melanoma Detection on Skin Lesion Images Using K-Means Algorithm and SVM Classifier / M. Julie Therese, A. Devi, and G. Kavya -- Role of Deep Learning Techniques in Detecting Skin Cancer: A Review / S.M. Jaisakthi and B. Devikirubha -- Deep Learning and Its Applications in Biomedical Image Processing / V.V. Satyanarayana Tallapragada. "This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat the patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. The volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Key features: Introduces important recent technological advancements in the field, describes the various techniques, platforms, and tools used in biomedical deep learning systems, includes informative case studies that help to explain the new technologies. Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students."-- Provided by publisher. EBSCOhost "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025. E. Golden Julie, PhD, is a Senior Assistant Professor in the Department of Computer Science and Engineering at Anna University, Regional Campus, Tirunelveli, India. With more than 12 years of experience in teaching, shehas published and presented many papers at national and international conferences. She has written ten book chapters and isco-editor ofthe books Successful Implementation and Deployment of IoT Projects in Smart Cities and Handbook of Research on Blockchain Technology: Trend and Technologies. She also acts as a reviewer for many journals on computers and electrical engineering. Y. Harold Robinson, PhD, is currently working at the School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India. He has more than 15 years of experience in teaching, has published many papers in international journals and presentedat both national and international conferences. Along with Dr. Julie, Dr. Robinson is co-editor of the books Successful Implementation and Deployment of IoT Projects in Smart Cities and Handbook of Research on Blockchain Technology: Trend and Technologies. He is a reviewer of many journals.S. M. Jaisakthi, PhD, is an Associate Professor at the School of Computer Science and Engineering at the Vellore Institute of Technology, Vellore,India. Dr. Jaisakthi has extensive research experience in machine learning in image processing, medical image analysis and in building deep learning models. She has published many research publications in refereed international journals and in proceedings of international conferences. Currently she is investigating a project funded by the Science and Engineering Research Board (SERB). Description based on online resource; title from digital title page (viewed on July 19, 2023). Artificial intelligence. 58441 Medical informatics. 60693 Biomedical engineering. 63886 Deep learning (Machine learning) 63887 Medical Informatics 60693 Deep Learning 55053 Biomedical Engineering 63888 Diagnostic Imaging 63889 Artificial Intelligence 58441 artificial intelligence. aat 58441 biomedical engineering. aat 63890 MEDICAL / Biotechnology bisacsh 63891 Artificial intelligence. 58441 Julie, Golden, 1984- editor. 63892 Jaisakthi, S. M., editor. 63893 Robinson, Y. Harold, editor. 63894 Print version: Handbook of deep learning in biomedical engineering and health informatics. First edition. Palm Bay, FL, USA ; Burlington, ON, Canada : Apple Academic Press ; Boca Raton, FL, USA ; Abingdon, Oxon, UK : CRC Press, 2021 1771889985 9781771889988 Biomedical engineering (Apple Academic Press) 63895 EBSCOhost https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2685923 Askews and Holts Library Services ASKH AH37941336 Askews and Holts Library Services ASKH AH37941337 YBP Library Services YANK 302326537 EBSCOhost EBSC 2685923 92 N$T 55881 55881