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Digital future of healthcare / edited by Nilanjan Dey, Nabanita Das, and Jyotismita Chaki.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Medical informatics.
- Medicine--Data processing--Case studies.
- Medicine.
- Medicine--Data processing.
- Genre:
- Case studies.
- Physical Description:
- 1 online resource : illustrations
- Edition:
- First edition.
- Place of Publication:
- Boca Raton, FL : CRC Press Books, 2022.
- [Place of publication not identified] : [publisher not identified], [2022]
- System Details:
- text file
- Biography/History:
- Nilanjan Dey, PhD. is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is an Adjunct Professor of Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 90 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing--Young ICT Group and Senior member of IEEE. Nabanita Das is an Asst. Professor in department of Computer Science and Engineering, Bengal Institute of Technology, India. She is currently a Ph.D. Research Scholar with the Department of Computer Science and Engineering, Gandhi Institute of Technology, Orissa, India. She received the M.Tech. degree from MAKAUT, West Bengal, India, and has more than ten years of teaching experience. She is actively involved in research in the domains of the Machine Learning, IoT, Software Engineering, Computer Aided Diagnosis. Jyotismita Chaki, PhD. is an Assistant Professor in School of Information Technology and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored many international conferences and journal papers. She is the author of the following books titled: (1) A Beginner's Guide to Image Preprocessing Techniques from CRC Press, Taylor and Francis and (2) A Beginner's Guide to Image Shape Feature Extraction Techniques from CRC Press, Taylor and Francis, (3) Texture Feature Extraction Techniques for Image Recognition (Springer), (4) Image Color Feature Extraction Techniques: Fundamentals and Applications (Springer), (5) Artificial Intelligence for Coronavirus Outbreak (Springer). She has edited the following books titled: (1) Smart Biosensors in Medical Care (Elsevier) and (2) Sensors for Health Monitoring (Elsevier). Currently she is the Associate Editor of Array journal, Elsevier and IET Image Processing Journal (IF: 1.995).
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. London Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on January 10, 2022).
- Local Notes:
- Acquired for the Penn Libraries with assistance from the Dr. D. Sergeant Pepper Memorial Fund.
- Other Format:
- Print version: Digital future of healthcare
- ISBN:
- 9781003198796
- 1003198791
- 9781000485417
- 1000485412
- 9781000485400
- 1000485404
- Publisher Number:
- 99989396264
- Access Restriction:
- Restricted for use by site license.
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