Deep Learning Applications in Medical Image Segmentation, 9781394245338
Hardcover
Deep learning revolutionizes medical image segmentation for diagnosis and treatment.

Deep Learning Applications in Medical Image Segmentation

overview, approaches, and challenges

$254.55

  • Hardcover

    320 pages

  • Release Date

    2 January 2025

Check Delivery Options

Summary

Deep Learning Applications in Medical Image Segmentation: Revolutionizing Medical Imaging

Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation

Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. The potential for deep learning, a technology which is already revolutionizing practice across hundreds of subfields, is immense. The pro…

Book Details

ISBN-13:9781394245338
ISBN-10:1394245335
Author:Sajid Yousuf Bhat, Aasia Rehman, Muhammad Abulaish
Publisher:John Wiley & Sons Inc
Imprint:Wiley-IEEE Press
Format:Hardcover
Number of Pages:320
Release Date:2 January 2025
Weight:694g
Dimensions:160mm x 237mm
About The Author

Sajid Yousuf Bhat

Sajid Yousuf Bhat, PhD, is an Assistant Professor in the Department of Computer Science, University of Kashmir, Srinagar, India. Dr. Bhat received his PhD in Computer Science from Jamia Millia Islamia, India, in 2014. His current areas of research include image analysis, machine learning, network analysis and business intelligence.

Aasia Rehman, PhD, is a Lecturer in the Department of Computer Science, University of Kashmir, Srinagar, India. Dr. Rehman earned her PhD in Computer Science from the University of Kashmir, India, in 2023. Her current research area includes medical image segmentation, image classification and deep learning.

Muhammad Abulaish, PhD, is a Professor in the Department of Computer Science, South Asian University, New Delhi, India. Professor Abulaish earned his PhD in Computer Science from the Indian Institute of Technology Delhi, India, in 2007. His research focuses on the development of innovative data mining, machine learning, and network analysis techniques to address real-world societal and industrial problems.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.