Advances in the application of artificial intelligence in solid tumor imaging
Ying Shao, Department of Laboratory Medicine, People Hospital of Jiangying, Jiangying 214400, Jiangsu Province, China
Yu-Xuan Zhang, Huan-Huan Chen, Shi-Chang Zhang, Jie-Xin Zhang, Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Shan-Shan Lu, Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Author contributions: Shao Y and Zhang YX performed the majority of the writing and they contributed equally to this minireview; Chen HH and Lu SS provided input in writing the paper; Zhang SC and Zhang JX designed the outline and coordinated the writing of the paper.
Supported by The “The Six Top Talent Project” of Jiangsu Province, No. WSW-004; and National Natural Science Foundation of China, No. 81671836.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jie-Xin Zhang, MD, PhD, Associate Professor, Senior Researcher, Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, Jiangsu Province, China. firstname.lastname@example.org
Received: March 9, 2021
Peer-review started: March 9, 2021
First decision: March 26, 2021
Revised: April 2, 2021
Accepted: April 20, 2021
Article in press: April 20, 2021
Published online: April 28, 2021