Deep Learning and Biomedical Engineering

View Sample PDF

Author(s): Suraj Sawant (College of Engineering Pune, India)
Copyright: 2018
Pages: 14
Source title: Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Source Author(s)/Editor(s): Utku Kose (Suleyman Demirel University, Turkey), Gur Emre Guraksin (Afyon Kocatepe University, Turkey)and Omer Deperlioglu (Afyon Kocatepe University, Turkey)
DOI: 10.4018/978-1-5225-4769-3.ch014

Keywords: Medical Engineering / Medical Information Science Reference / Medicine & Healthcare

Purchase

View Deep Learning and Biomedical Engineering on the publisher's website for pricing and purchasing information.

Abstract

Deep learning (DL) is a method of machine learning, as running over artificial neural networks, which has a structure above the standards to deal with large amounts of data. That is generally because of the increasing amount of data, input data sizes, and of course, greater complexity of objective real-world problems. Performed research studies in the associated literature show that the DL currently has a good performance among considered problems and it seems to be a strong solution for more advanced problems of the future. In this context, this chapter aims to provide some essential information about DL and its applications within the field of biomedical engineering. The chapter is organized as a reference source for enabling readers to have an idea about the relation between DL and biomedical engineering.

The IRMA Community

Research IRM

Deep Learning and Biomedical Engineering

Purchase

Abstract

Related Content

IRMA Sponsors