Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications

View Sample PDF

Author(s): R. Udendhran (Department of Computer Science and Engineering, Bharathidasan University, India)and Balamurugan M. (Department of Computer Science and Engineering, Bharathidasan University, India)
Copyright: 2023
Pages: 17
Source title: Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7544-7.ch043

Keywords: Knowledge Management and Library Science / Medical Diagnosis and Practice / Medical Imaging / Medical Information Science Reference

Purchase

View Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications on the publisher's website for pricing and purchasing information.

Abstract

The recent growth of big data has ushered in a new era of deep learning algorithms in every sphere of technological advance, including medicine, as well as in medical imaging, particularly radiology. However, the recent achievements of deep learning, in particular biomedical applications, have, to some extent, masked decades-long developments in computational technology for medical image analysis. The methods of multi-modality medical imaging have been implemented in clinical as well as research studies. Due to the reason that multi-modal image analysis and deep learning algorithms have seen fast development and provide certain benefits to biomedical applications, this chapter presents the importance of deep learning-driven medical imaging applications, future advancements, and techniques to enhance biomedical applications by employing deep learning.

The IRMA Community

Research IRM

Demystification of Deep Learning-Driven Medical Image Processing and Its Impact on Future Biomedical Applications

Purchase

Abstract

Related Content

IRMA Sponsors