Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of medical images. This chapter introduces the basic concepts of medical imaging informatics, including image processing, feature engineering, and machine learning. It also discusses the recent advancements in computer vision and deep learning technologies and how they are used to develop new quantitative image markers and prediction models for disease detection, diagnosis, and prognosis prediction. By covering the basic knowledge of medical imaging informatics, this chapter provides a foundation for understanding the role of informatics in medicine and its potential impact on patient care.
@article{arxiv.2306.00421,
title = {Introduction to Medical Imaging Informatics},
author = {Md. Zihad Bin Jahangir and Ruksat Hossain and Riadul Islam and MD Abdullah Al Nasim and Md. Mahim Anjum Haque and Md Jahangir Alam and Sajedul Talukder},
journal= {arXiv preprint arXiv:2306.00421},
year = {2023}
}
Comments
18 pages, 11 figures, 2 tables; Acceptance of the chapter for the Springer book "Data-driven approaches to medical imaging"