Deep Learning in Healthcare

Samir Brahim Belhaouari*, Ashhadul Islam

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

Artificial Intelligence (AI) and Deep Learning (DL) have been household names in research in the past decade. This chapter discusses the application of deep learning on healthcare, specifically in detection of cancer. It enumerates the state-of-art research work on lungs, liver, breast and brain cancer and then focuses on the scope of deep learning in healthcare, discussing some of the emerging areas of research. The chapter also touches upon the limitations of using deep learning as a standard vehicle of diagnostics in healthcare. As there is little doubt that the Deep Learning methods will find a strong foothold in the healthcare domain, this chapter elucidates the tenets of Deep Learning to data science practitioners and healthcare workers alike so that these methods can be better used for the welfare of life on Earth.

Original languageEnglish
Title of host publicationLecture Notes in Bioengineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages155-168
Number of pages14
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Bioengineering
ISSN (Print)2195-271X
ISSN (Electronic)2195-2728

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