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Review
. 2020 Jun 30:14:1065.
doi: 10.3332/ecancer.2020.1065. eCollection 2020.

Machine learning in oncology: a review

Cecilia Nardini  1
Affiliations
Review

Machine learning in oncology: a review

Cecilia Nardini. Ecancermedicalscience. .

Abstract

Machine learning is a set of techniques that promise to greatly enhance our data-processing capability. In the field of oncology, ML presents itself with a wealth of possible applications to the research and the clinical context, such as automated diagnosis and precise treatment modulation. In this paper, we will review the principal applications of ML techniques in oncology and explore in detail how they work. This will allow us to discuss the issues and challenges that ML faces in this field, and ultimately gain a greater understanding of ML techniques and how they can improve oncological research and practice.

Keywords: big data; deep learning; ethics; image recognition; machine learning; methodology; neural network.

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Conflict of interest statement

None stated. The author is an independent researcher and does not receive funding.

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