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
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 (10363)
All Articles published online
|
Publishing Process of This Article
|
Sep 26, 2020 (publication date) through Nov 3, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Clinical Cases
ISSN
2307-8960
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Mao WB, Lyu JY, Vaishnani DK, Lyu YM, Gong W, Xue XL, Shentu YP, Ma J. Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. World J Clin Cases 2020; 8(18): 3971-3977 [PMID: 33024753 DOI: 10.12998/wjcc.v8.i18.3971] |
|---|---|
| URL: | https://www.wjgnet.com/1007-9327/full/v8/i18/3971.htm |
| Number | Citing Articles |
| 1 |
Sanjeevi Pandiyan, Li Wang. A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence. Computers in Biology and Medicine 2022; 150: 106140 doi: 10.1016/j.compbiomed.2022.106140
|
| 2 |
Guanghui Yuan, Bohan Lv, Cuifang Hao. Application of artificial neural networks in reproductive medicine. Human Fertility 2023; 26(5): 1195 doi: 10.1080/14647273.2022.2156301
|
| 3 |
Manisha Pathak, Sonali Patil, Sanjay Kumar, Deeksha Pathak, Ashish Gupta, Deepak Gupta, Khemchand Shakywar. Liver Tumour Detection and Classification using Image Processing and Machine Learning. 2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon) 2024; : 1 doi: 10.1109/MITADTSoCiCon60330.2024.10575459
|
| 4 |
Ritu Tandon, Shweta Agrawal, Narendra Pal Singh Rathore, Abhinava K. Mishra, Sanjiv Kumar Jain. A systematic review on deep learning‐based automated cancer diagnosis models. Journal of Cellular and Molecular Medicine 2024; 28(6) doi: 10.1111/jcmm.18144
|
| 5 |
Saloni Joshi, Bhawna Bisht, Vinod Kumar, Narpinder Singh, Shabaaz Begum Jameel Pasha, Nardev Singh, Sanjay Kumar. Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare. Systems Microbiology and Biomanufacturing 2023; doi: 10.1007/s43393-023-00200-4
|
| 6 |
Muhammad-Redha Abdullah-Zawawi, Shing Cheng Tan, M. Aiman Mohtar, Saiful Effendi Syafruddin, Teck Yew Low, Muhammad Irfan Abdul Jalal. . Interdisciplinary Cancer Research 2024; doi: 10.1007/16833_2024_449
|
| 7 |
Kangjam Rekha Devi, Jagat Pradhan, Rinchenla Bhutia, Peggy Dadul, Atanu Sarkar, Nitumoni Gohain, Kanwar Narain. Molecular diversity of Mycobacterium tuberculosis complex in Sikkim, India and prediction of dominant spoligotypes using artificial intelligence. Scientific Reports 2021; 11(1) doi: 10.1038/s41598-021-86626-z
|
| 8 |
Ibtihaj Khurram Faridi, Evangelos Tsotsas, Wolfram Heineken, Marcus Koegler, Abdolreza Kharaghani. Spatio-temporal prediction of temperature in fluidized bed biomass gasifier using dynamic recurrent neural network method. Applied Thermal Engineering 2023; 219: 119334 doi: 10.1016/j.applthermaleng.2022.119334
|
| 9 |
Sumagna Dey, Rohan Pal, Saptarshi Biswas. Biosignal Processing. Biomedical Engineering 2022; 14 doi: 10.5772/intechopen.103075
|
| 10 |
Garry Brydges, Abhineet Uppal, Vijaya Gottumukkala. Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians. Current Oncology 2024; 31(5): 2727 doi: 10.3390/curroncol31050207
|
| 11 |
Sarthak Grover, Surbhi Gupta. Automated diagnosis and classification of liver cancers using deep learning techniques: a systematic review. Discover Applied Sciences 2024; 6(10) doi: 10.1007/s42452-024-06218-0
|
| 12 |
Wenqing Zhang, Mengjiao Zhou, Xingxu Yan, Siyu Chen, Wenxiu Qian, Yue Zhang, Xinyue Zhang, Guoxiang Jia, Shan Zhao, Yaqi Yao, Yubo Li. Development of drug-induced gastrointestinal injury models based on ANN and SVM algorithms and their applications in the field of natural products. New Journal of Chemistry 2024; 48(38): 16906 doi: 10.1039/D4NJ02680B
|
| 13 |
Nasir Mehmood, Rashid Ahmad, Aqsa Gul, Anwar Zaman, Ghulam Murtaza, Jamil Ahmad, Fida Younus Khattak. Prediction of lattice constants for the full-Heusler alloys by vector regression model and Artificial Neural Networks. Computational Condensed Matter 2021; 29: e00605 doi: 10.1016/j.cocom.2021.e00605
|
| 14 |
V. Durga Prasad Jasti, Enagandula Prasad, Manish Sawale, Shivlal Mewada, Manoj L. Bangare, Pushpa M. Bangare, Sunil L. Bangare, F. Sammy, Mukesh Soni. Image Processing and Machine Learning-Based Classification and Detection of Liver Tumor. BioMed Research International 2022; 2022: 1 doi: 10.1155/2022/3398156
|
| 15 |
Feng Luo, Guang Hong, Qianbing Wan. Artificial Intelligence in Biomedical Applications of Zirconia. Frontiers in Dental Medicine 2021; 2 doi: 10.3389/fdmed.2021.689288
|