BPG is committed to discovery and dissemination of knowledge
This Article
- Abstract
- Core Tip
- Article Highlights
- Full Article (PDF)
- Full Article with Cover (PDF)
- Full Article (XML)
- Full Article (HTML)
- Audio
- PubMed Central
- PubMed
- CrossRef
- Google Scholar
- Similar Articles (1134)
- Timeline of Article Publication (2)
- Authors Evaluation (1)
- Article Quality Tracking (0)
- Reference Citation Analysis (0)
Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Grudza M, Salinel B, Zeien S, Murphy M, Adkins J, Jensen CT, Bay C, Kodibagkar V, Koo P, Dragovich T, Choti MA, Kundranda M, Syeda-Mahmood T, Wang HZ, Chang J. Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training. World J Radiol 2023; 15(12): 359-369 [PMID: 38179201 DOI: 10.4329/wjr.v15.i12.359]
Corresponding Author of This Article
John Chang, MD, PhD, Doctor, Department of Radiology, Banner MD Anderson Cancer Center, 2940 E. Banner Gateway Drive, Suite 315, Gilbert, AZ 85234, United States. changresearch1@gmail.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Observational Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (2754)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Dec 28, 2023 (publication date) through Nov 8, 2024
Times Cited of This Article
- Times Cited (0)
Journal Information of This Article
Publication Name
World Journal of Radiology
ISSN
1949-8470
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Total Visits of This Article
2022 | Number of total visits
Rank | Countries/Territories | Count | Percent |