Page 201 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

7

Early detection and diagnosis

using deep learning

2
1
Deepak Kumar Sharma , Saakshi Bhargava ,
3
Aashna Jha , Pawan Singh 1
1
Department of Information Technology, Netaji Subhas University of
2
Technology, New Delhi, India; Department of Physical Sciences and
3
Engineering, Banasthali Vidyapith, Tonk, Rajasthan, India; Department of
Electronics and Communication, Netaji Subhas University of Technology,
New Delhi, India

1. Introduction
As the technological world continues to expand, biomedicine
and deep Learning (DL) expand with it. These two fields have
seen immense development over the course of the 21st century
and attract some of the brightest minds in the world. Combining
these two fields yields phenomenal results for the betterment of
civilization as we know it today. DL has seen application in a
variety of fields ranging from healthcare to finance. Considering
the exponential expansion in data over the past few years, tools
and techniques such as DL have become all the more important
to extract crucial information and use the data appropriately. By
enhancing productivity, reducing error, and tackling mundane
tasks, DL has been a boon in multiple ways. This has led to strides
in development in all things affecting humanity. Biomedicine has
a vast history, which has seen immense development throughout.
Engineers over the past few years have developed extraordinary
tools and techniques helping the sick, injured, and disabled liked.
Biomedicine deals with all medical applications ranging from
diagnosis to treatment. It even incorporates several branches
such as agricultural engineering and bionic. With such a wide
array of applications, biomedicine has always aided in moving
humanity forward and has only accelerated its efforts in the
past few years.
Combining these two technologies has resulted in some of the
best technological innovations in recent times. DL has a variety of

Handbook of Deep Learning in Biomedical Engineering. https://doi.org/10.1016/B978-0-12-823014-5.00001-6
Copyright © 2021 Elsevier Inc. All rights reserved. 191