Machine Learning and AI Techniques in Interactive Medical Image Analysis
Language: English
Published by IGI Global, 2022
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.…
Seller Inventory # 9781668446713
- Title
- Machine Learning and AI Techniques in Interactive Medical Image Analysis
- Author
- Sandeep Biswal
- Publisher
- IGI Global
- Publication year
- 2022
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1668446715
- ISBN 13
- 9781668446713
- Item weight
- 606 grams
- Dimensions
- 260x183x18 mm
Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.
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About the Author
Prof. Sandeep Biswal received his Ph.D. degree in Electrical Engineering from NIT Raipur, India, in 2019 in the field of power system protection and M.Tech. in Power System Engineering from VSSUT (UCE) Burla, Odisha in 2013. Currently, he is Assistant Professor with the Department of Electrical Engineering, O P Jindal University, Raigarh (C. G.), India, where he has been since 2019. He is the active reviewer of many reputed journals like IEEE Transaction on Power Delivery, IEEE Transaction on Power System, IEEE Transaction on Circuit and System-I, IEEE Transaction on Circuit and System-II, IEEE Systems Journal, Journal of Electric Power Components and Systems, Taylor and Francis, European Transaction on Electrical Power, Electric Power System Research and many more. His research interests include power system relaying, distribution system protection and monitoring, and microgrid protection. He is an active member of IEEE, Member of IRC-IEEE MP Section India. Dr. Biswal is a recipient of the POSOCO Power System Award by POSOCO (PGCIL) India and Indian Institute of Technology Delhi, India, in 2019.
Prof. Akash Kumar Bhoi completed his B.Tech. (Biomedical Engineering) from TAT, Bhubaneswar and M.Tech (Biomedical Instrumentation) from Karunya University, Coimbatore in the years 2009 and 2011 respectively. He is pursuing a PhD in (Biomedical Signal Processing) from Sikkim Manipal University, India. He has been working as a R&D Faculty Associate & Assistant Professor in the Department of Electrical & Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT), India since 2012. He is member of ISEIS & IAENG, Associate member of UACEE and Editorial Board member of IJAEEE, IJAEEE, ITSI-TEEE, IJECCE & IJCTT and Regular reviewer of IJET, IJCT, IJBSE, IJMI, and AJBLS & Journals of repute namely IEEE, Springer, Elsevier, Taylor & Francis etc. His areas of research are biomedical signal processing, medical image processing, sensors & transducers, and medical instrumentation. He has published several papers in national and international journals and conferences. He has also organized international conferences and workshops.
Professor Akhtar Kalam is the Academic Director of Texila College Australia, Melbourne. Concurrently, he is an Emeritus Professor at Victoria University (VU), Melbourne. He has been associated with Victoria University since 1984. He is a former deputy dean of the Faculty of Health, Engineering, and Science, head of engineering, and head of external engagement of the College of Engineering and Science. He is also the current Texila College Australia, Melbourne, Australia Academic Board Chair. In addition, he is the Editor in Chief of the Australian Journal of Electrical & Electronics Engineering. Further, he has Distinguished Professorship positions at the University of New South Wales, Sydney, Australia; MRS Punjab Technical University – Bhatinda, India; Crescent University – Chennai, India; VIT – Vellore and Chennai, India; 1 Omani institution and 5 Malaysian universities. He has vast experience in educational institutions and industry across four continents. He received his B.Sc. and B.Sc. Engineering from Calcutta University and Aligarh Muslim University, India. He completed his MS and Ph.D. at the University of Oklahoma, USA, and the University of Bath, UK. He has worked with Ingersoll Rand and other electrical manufacturers. He has held teaching appointments at the University of Technology, Baghdad, Iraq, and Capricornia Institute of Advanced Education, Rockhampton, Queensland. He has had international and national recognition for his research. He is the first to have received the John Madsen Medal from Engineers Australia in consecutive years 2016, 2019, and 2020. The John Madsen Medal is awarded for the best paper in Australia written by a current member of Engineers Australia and published in The Australian Journal of Electrical and Electronic Engineering. Most recently, the prestigious ‘ACPE-CIGRE Outstanding Academic Award (2021) has highlighted his outstanding impact. The award recognizes an exceptional Australasian academic for outstanding career-long contributions to industry, teaching, and research in electric power engineering. On invitation, he regularly delivers lectures, works on industrial projects, and examines external theses (national and international). His major research interests are power system analysis, communication, control, protection, renewable energy, smart grid, cogeneration systems, and IEC61850 implementation. He has been actively teaching Energy Systems to undergraduates and postgraduates and providing professional courses to the industry in Australia and overseas. He regularly offers Continuing Professional Development and Master Class courses on Power System Protection, Renewable Energy, IEC61850, Cogeneration & Gas Turbine Operation, and PBL in engineering education to practicing engineers, the Energy Supply Association of Australia (ESAA), IDC Technologies, and Australian Power Institute (API). He also runs a postgraduate distance education program on Power System Protection for the ESAA. He has conducted research, provided industrial consultancy, published over six hundred publications in his area of expertise, and written over 29 books. More than 49 higher-degree research students have graduated under his supervision. He provides consultancy for major electrical utilities, manufacturers, and other industry bodies in his expertise. Professor Kalam is a registered Professional Engineer in the state of Victoria (PEV), a Fellow of EA, IET, AIE, a Life Senior Member of IEEE, NER, APEC Engineer, IntPE (Aus), and a member of CIGRE AP B5 Study Committee.
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last update: 01/06/2022
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last updated: 01/06/2022