**Artificial Intelligence in Cancer Diagnosis and Therapy**

Editors

**Hamid Khayyam Ali Madani Rahele Kafieh Ali Hekmatnia**

MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin

*Editors* Hamid Khayyam School of Engineering, RMIT University Australia Ali Hekmatnia Radiology Department, School of Medicine, Isfahan University of Medical Sciences Iran

Ali Madani Cyclica Inc. Canada

Rahele Kafieh Department of Engineering, Durham University UK

*Editorial Office* MDPI St. Alban-Anlage 66 4052 Basel, Switzerland

This is a reprint of articles from the Topic published online in the open access journals *AI* (ISSN 2673-2688), *Cancers* (ISSN 2072-6694), *Current Oncology* (ISSN 1718-7729), *Diagnostics* (ISSN 2075-4418), and *Onco* (ISSN 2673-7523) (available at: https://www.mdpi.com/topics/AI Cancer).

For citation purposes, cite each article independently as indicated on the article page online and as indicated below:

LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. *Journal Name* **Year**, *Volume Number*, Page Range.

**ISBN 978-3-0365-6672-6 (Hbk) ISBN 978-3-0365-6673-3 (PDF)**

© 2023 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.

The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.
