Advances in Deep Learning for Medical Image Analysis

— —

Archana Mire (Terna Engineering College, India) Vinayak Elangovan (Penn State University, USA)

Advances in Deep Learning for Medical Image Analysis

Archana Mire (Terna Engineering College, India), Vinayak Elangovan (Penn State University, USA), Shailaja Patil (Rajarshi Shahu College of Engineering, India)

$96.99

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

CRC Press
08 October 2024

Electrical engineering; Electronics engineering; Imaging systems & technology; Mathematical theory of computation; Machine learning

This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases.

The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer’s disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.

Edited by: Archana Mire (Terna Engineering College India), Vinayak Elangovan (Penn State University, USA), Shailaja Patil (Rajarshi Shahu College of Engineering, India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 308g
ISBN: 9781032137193
ISBN 10: 1032137193
Pages: 154
Publication Date: 08 October 2024
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Archana Mire is presently working as Head, Department of computer engineering, Terna Engineering College, Navi Mumbai, India. She has more than 14 years of research and teaching experience. She has published research papers in various SCI/Scopus indexed national/international conferences and journals. She has worked on various national/International conference technical committees and reviewed papers for various conferences and journals. She has served as a session chair for various international conferences organized within and outside India. Her main research area is machine learning and image processing. Vinayak Elangovan is currently working as an assistant professor of Computer Science at Penn State University in Abington, USA. He earned his Ph.D. in Computer Information Systems Engineering at Tennessee State University, the USA in 2014, and continued his research and teaching there as a Postdoctoral fellow. He worked at The College of New Jersey (TCNJ) and St. Olaf College teaching various computer science courses for undergraduate students during 2015-2017. His research interest includes computer vision, machine vision, multi-sensor data fusion, and activity sequence analysis with a keen interest in software applications development and database management. He has worked on a number of funded projects related to the Department of Defense and the Department of Homeland Security applications. He also has considerable work experience in the engineering and software industries. Shailaja Patil is currently working as a professor, department of electronics and telecommunication, and Dean (Research and Development), Rajarshi Shahu College of Engineering, Pune, India. She has 25 years of teaching and 3 years of research experience. She has more than 60 publications in peer-reviewed journals. She has delivered expert lectures on WSN, SDN, and Intellectual property Rights at various workshops. She is a Fellow of the Institution of Engineers and members of various professional bodies- IEEE, ISTE, GISFI, ISA, ACM, etc.