Data Fusion Techniques and Applications for Smart Healthcare

— —

Amit Kumar Singh (Associate Professor, Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India) Stefano Berretti, PhD (Associate Professor, Department of Information Engineering, University of Florence(UNIFI), Florence, Italy.)

Data Fusion Techniques and Applications for Smart Healthcare

Amit Kumar Singh (Associate Professor, Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India), Stefano Berretti, PhD (Associate Professor, Department of Information Engineering, University of Florence(UNIFI), Florence, Italy.)

$308.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Academic Press Inc
29 March 2024

Data capture & analysis; Computer science; Artificial intelligence

Series: Intelligent Data-Centric Systems

Data Fusion Techniques and Applications for Smart Healthcare covers cutting-edge research from both academia and industry, with a particular emphasis on recent advances in algorithms and applications that involve combining multiple sources of medical information. The book can be used as a reference for practicing engineers, scientists, and researchers, but it will also be useful for graduate students and practitioners from government and industry as well as healthcare technology professionals working on state-of-the-art information fusion solutions for healthcare applications.

Medical data exists in several formats, from structured data and medical reports to 1D signals, 2D images, 3D volumes, or even higher dimensional data such as temporal 3D sequences. Healthcare experts can make auscultation reports in text format; electrocardiograms can be printed in time series format, X-rays saved as images; volume can be provided through angiography; temporal information by echocardiograms, and 4D information extracted through flow MRI.

Edited by: Amit Kumar Singh (Associate Professor Department of Computer Science and Engineering National Institute of Technology Patna Bihar India), Stefano Berretti, PhD (Associate Professor, Department of Information Engineering, University of Florence(UNIFI), Florence, Italy.)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 234mm, Width: 191mm,
Weight: 450g
ISBN: 9780443132339
ISBN 10: 044313233X
Series: Intelligent Data-Centric Systems
Pages: 442
Publication Date: 29 March 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

"Amit Kumar Singh is an associate professor at the Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India. Dr. Singh have been recognized as ""World Ranking of Top 2% Scientists"" in the area of “Biomedical Research"" (for Year 2019) and ""Artificial Intelligence & Image Processing"" (for the Year 2020 and 2021) according to the survey given by Stanford University, USA. Currently, Dr. Singh is the Associate Editor of IEEE Trans. on Multimedia, ACM Trans. Multimedia Comput. Commun. Appl., IEEE Trans. Computat. Social Syst., IEEE Trans. Ind. Informat., IEEE J. Biomed. Heal. Informatics Etc. His research interests include multimedia data hiding, image processing, compression, biometrics, Cryptography. Prof. Berretti is an associate professor at the Media Integration and Communication Center (MICC) and Department of Information Engineering (DINFO) of the University of Florence (UNIFI), Florence, Italy. In 2017, he obtained habilitation as full professor in Computer Engineering. Prof. Berretti has worked on image databases for effective and efficient image retrieval based on color, shape attributes and spatial relationships. He also investigated the problem of retrieval from repositories distributed on the net using resource selection and results fusion. More recently, his research interests focused on deep learning methods for face recognition, and to their generalization to non-Euclidean domains (i.e., graphs, meshes, manifolds, etc.). He is information director and associate editor of the ACM Transactions on Multimedia Computing, Communication and Applications, and of the IET Computer Vision journal. He is a member of the ACM, and senior member of the IEEE."