This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods. The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.
Edited
By Yatindra Kumar, Shahi Kant Verma, Archana Singh, Krishna Kumar, Manoj Gupta
December 06, 2024
IoT technology for healthcare is a modern innovation that provides reliable and secure use of available resources for serving the healthcare industry. It not only helps improve contact between the community and public healthcare providers but also significantly lowers healthcare costs and improves ...
Edited
By T. R. Ganesh Babu, U. Saravanakumar, Balachandra Pattanaik
July 26, 2024
This new book focuses on mathematical and numerical methods for medical images and data. The book presents the various mathematical modeling techniques, numerical analysis, computing and computational techniques, and applications of machine learning for medical images and medical informatics. It ...