-
Send to Friends (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
Corresponding Author of This Article
Checklist of Responsibilities for the Scientific Editor of This Article
Publishing Process of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (4668)
All Articles published online
|
Publishing Process of This Article
|
May 28, 2021 (publication date) through Apr 2, 2023
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Yan T, Wong PK, Qin YY. Deep learning for diagnosis of precancerous lesions in upper gastrointestinal endoscopy: A review. World J Gastroenterol 2021; 27(20): 2531-2544 [PMID: 34092974 DOI: 10.3748/wjg.v27.i20.2531] |
|---|---|
| URL: | https://www.wjgnet.com/1007-9327/full/v27/i20/2531.htm |
| Number | Citing Articles |
| 1 |
Tao Yu, Ne Lin, Xingwei Zhong, Xiaoyan Zhang, Xinsen Zhang, Yihe Chen, Jiquan Liu, Weiling Hu, Huilong Duan, Jianmin Si. Multi-label recognition of cancer-related lesions with clinical priors on white-light endoscopy. Computers in Biology and Medicine 2022; 143: 105255 doi: 10.1016/j.compbiomed.2022.105255
|
| 2 |
Jiwen Wang, Binghui Wu, Yun Jiang, Yidan Yuan, Man Fai Leung. Research on Prediction of Physical Fitness Test Results in Colleges and Universities Based on Deep Learning. Mathematical Problems in Engineering 2022; 2022: 1 doi: 10.1155/2022/6758684
|
| 3 |
Ke Nie, Ying Xiao. Radiomics in clinical trials: perspectives on standardization. Physics in Medicine & Biology 2023; 68(1): 01TR01 doi: 10.1088/1361-6560/aca388
|
| 4 |
Pak Kin Wong, In Neng Chan, Hao-Ming Yan, Shan Gao, Chi Hong Wong, Tao Yan, Liang Yao, Ying Hu, Zhong-Ren Wang, Hon Ho Yu. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview. World Journal of Gastroenterology 2022; 28(45): 6363-6379 doi: 10.3748/wjg.v28.i45.6363
Abstract(66) |
Core Tip(72) |
Full Article(HTML)(1230)
|
Full Article (PDF)-1317K(157)
|
Full Article (Word)-745K(20)
|
Audio-385K(0)
|
Peer-Review Report-233K(16)
|
Answering Reviewers-363K(11)
|
Times Cited (0)
|
Total Visits (2290)
|
Open
|
| 5 |
You Zhou, Yu-tong Ge, Xiao-lei Shi, Ke-yan Wu, Wei-wei Chen, Yan-bing Ding, Wei-ming Xiao, Dan Wang, Guo-tao Lu, Liang-hao Hu. Machine learning predictive models for acute pancreatitis: A systematic review. International Journal of Medical Informatics 2022; 157: 104641 doi: 10.1016/j.ijmedinf.2021.104641
|
| 6 |
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, Xingting Qiu, Wenjun Tan, Xiaoxia Yin, Liefa Liao. Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.773840
|
| 7 |
Erica Park, Makoto Nishimura, Priya Simoes. Endoscopic advances in the management of gastric cancer and premalignant gastric conditions. World Journal of Gastrointestinal Endoscopy 2023; 15(3): 114-121 doi: 10.4253/wjge.v15.i3.114
Abstract(23) |
Core Tip(21) |
Full Article(HTML)(96)
|
Full Article (PDF)-2755K(14)
|
Full Article (Word)-531K(1)
|
Audio-557K(0)
|
Peer-Review Report-221K(1)
|
Answering Reviewers-64K(1)
|
Times Cited (0)
|
Total Visits (398)
|
Open
|
| 8 |
Jie Yang, Yan Ou, Zhiqian Chen, Juan Liao, Wenjian Sun, Yang Luo, Chunbo Luo. A Benchmark Dataset of Endoscopic Images and Novel Deep Learning Method to Detect Intestinal Metaplasia and Gastritis Atrophy. IEEE Journal of Biomedical and Health Informatics 2023; 27(1): 7 doi: 10.1109/JBHI.2022.3217944
|
| 9 |
Francis Jesmar P. Montalbo. Fusing compressed deep ConvNets with a self-normalizing residual block and alpha dropout for a cost-efficient classification and diagnosis of gastrointestinal tract diseases. MethodsX 2022; 9: 101925 doi: 10.1016/j.mex.2022.101925
|