BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Ma H, Liu ZX, Zhang JJ, Wu FT, Xu CF, Shen Z, Yu CH, Li YM. Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis. World J Gastroenterol 2020; 26(34): 5156-5168 [PMID: 32982116 DOI: 10.3748/wjg.v26.i34.5156]
URL: https://www.wjgnet.com/1007-9327/full/v26/i34/5156.htm
Number Citing Articles
1
Passisd Laoveeravat, Priya R Abhyankar, Aaron R Brenner, Moamen M Gabr, Fadlallah G Habr, Amporn Atsawarungruangkit. Artificial intelligence for pancreatic cancer detection: Recent development and future direction Artificial Intelligence in Gastroenterology 2021; 2(2): 56-68 doi: 10.35712/aig.v2.i2.56
2
Megan Schuurmans, Natália Alves, Pierpaolo Vendittelli, Henkjan Huisman, John Hermans. Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma ImagingCancers 2022; 14(14): 3498 doi: 10.3390/cancers14143498
3
Jiaqi Qu, Xunbin Wei, Xiaohua Qian. Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalizationMedical Image Analysis 2023; 86: 102774 doi: 10.1016/j.media.2023.102774
4
Juan Li, Yanru Li, Shuai Chen, Weili Duan, Xue Kong, Yunshan Wang, Lianqun Zhou, Peilong Li, Chengpeng Zhang, Lutao Du, Chuanxin Wang. Highly Sensitive Exosome Detection for Early Diagnosis of Pancreatic Cancer Using Immunoassay Based on Hierarchical Surface‐Enhanced Raman Scattering SubstrateSmall Methods 2022; 6(6): 2200154 doi: 10.1002/smtd.202200154
5
Jasmine Chhikara, Nidhi Goel, Neeru Rathee. Pancreatic Carcinoma Detection with Publicly available Radiological Images: A Systematic Analysis2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2022; : 1 doi: 10.1109/ICRITO56286.2022.9964991
6
Kiersten Preuss, Nate Thach, Xiaoying Liang, Michael Baine, Justin Chen, Chi Zhang, Huijing Du, Hongfeng Yu, Chi Lin, Michael A. Hollingsworth, Dandan Zheng. Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning ApplicationsCancers 2022; 14(7): 1654 doi: 10.3390/cancers14071654
7
Ajanthaa Lakkshmanan, C. Anbu Ananth, S. Tiroumalmouroughane. Multi-objective Metaheuristics with Intelligent Deep Learning Model for Pancreatic Tumor DiagnosisJournal of Intelligent & Fuzzy Systems 2022; 43(5): 6793 doi: 10.3233/JIFS-221171
8
Yan-Jie Shi, Hai-Tao Zhu, Xiao-Ting Li, Xiao-Yan Zhang, Yu-Liang Liu, Yi-Yuan Wei, Ying-Shi Sun. Histogram array and convolutional neural network of DWI for differentiating pancreatic ductal adenocarcinomas from solid pseudopapillary neoplasms and neuroendocrine neoplasmsClinical Imaging 2023; 96: 15 doi: 10.1016/j.clinimag.2023.01.008
9
Ajanthaa Lakkshmanan, C. Anbu Ananth, S. Tiroumalmouroughane S. Tiroumalmouroughane. An automated deep learning based pancreatic tumor diagnosis and classification model using computed tomography imagesInternational Journal of Intelligent Computing and Cybernetics 2022; 15(3): 454 doi: 10.1108/IJICC-09-2021-0212
10
Maha M. Althobaiti, Ahmed Almulihi, Amal Adnan Ashour, Romany F. Mansour, Deepak Gupta, Deepak Kumar Jain. Design of Optimal Deep Learning-Based Pancreatic Tumor and Nontumor Classification Model Using Computed Tomography ScansJournal of Healthcare Engineering 2022; 2022: 1 doi: 10.1155/2022/2872461
11
Chunzhi Meng, Hongyi Li, Chen Chen, Wei Wu, Jing Gao, Yining Lai, Mila Ka, Min Zhu, Xiaoyi Lv, Fangfang Chen, Cheng Chen. Serum Raman spectroscopy combined with Gaussian—convolutional neural network models to quickly detect liver cancer patientsSpectroscopy Letters 2022; 55(2): 79 doi: 10.1080/00387010.2022.2027988
12
Maxime Barat, Guillaume Chassagnon, Anthony Dohan, Sébastien Gaujoux, Romain Coriat, Christine Hoeffel, Christophe Cassinotto, Philippe Soyer. Artificial intelligence: a critical review of current applications in pancreatic imagingJapanese Journal of Radiology 2021; 39(6): 514 doi: 10.1007/s11604-021-01098-5
13
Natália Alves, Megan Schuurmans, Geke Litjens, Joeran S. Bosma, John Hermans, Henkjan Huisman. Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed TomographyCancers 2022; 14(2): 376 doi: 10.3390/cancers14020376
14
Kenneth Weicong Lin, Tiing Leong Ang, James Weiquan Li. Role of artificial intelligence in early detection and screening for pancreatic adenocarcinomaArtificial Intelligence in Medical Imaging 2022; 3(2): 21-32 doi: 10.35711/aimi.v3.i2.21
15
Hiromitsu Hayashi, Norio Uemura, Kazuki Matsumura, Liu Zhao, Hiroki Sato, Yuta Shiraishi, Yo-ichi Yamashita, Hideo Baba. Recent advances in artificial intelligence for pancreatic ductal adenocarcinomaWorld Journal of Gastroenterology 2021; 27(43): 7480-7496 doi: 10.3748/wjg.v27.i43.7480
16
Julia Arribas Anta, Iván Martínez-Ballestero, Daniel Eiroa, Javier García, Júlia Rodríguez-Comas. Artificial intelligence for the detection of pancreatic lesionsInternational Journal of Computer Assisted Radiology and Surgery 2022; 17(10): 1855 doi: 10.1007/s11548-022-02706-z
17
Heng Wang, Zhongyi Wu, Fei Wang, Wenting Wei, Kezhen Wei, Zhaobang Liu. MAFF: Multi-scale and self-adaptive attention feature fusion network for pancreatic lesion detection in PET / CT imagesProceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering 2022; : 1412 doi: 10.1145/3573428.3573678
18
Thavavel Vaiyapuri, Ashit Kumar Dutta, I. S. Hephzi Punithavathi, P. Duraipandy, Saud S. Alotaibi, Hadeel Alsolai, Abdullah Mohamed, Hany Mahgoub. Intelligent Deep-Learning-Enabled Decision-Making Medical System for Pancreatic Tumor Classification on CT ImagesHealthcare 2022; 10(4): 677 doi: 10.3390/healthcare10040677
19
José S Enriquez, Yan Chu, Shivanand Pudakalakatti, Kang Lin Hsieh, Duncan Salmon, Prasanta Dutta, Niki Zacharias Millward, Eugene Lurie, Steven Millward, Florencia McAllister, Anirban Maitra, Subrata Sen, Ann Killary, Jian Zhang, Xiaoqian Jiang, Pratip K Bhattacharya, Shayan Shams. Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic CancerJMIR Medical Informatics 2021; 9(6): e26601 doi: 10.2196/26601
20
Maxime Barat, Ugo Marchese, Anna Pellat, Anthony Dohan, Romain Coriat, Christine Hoeffel, Elliot K. Fishman, Christophe Cassinotto, Linda Chu, Philippe Soyer. Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent AdvancesCanadian Association of Radiologists Journal 2022; : 084653712211249 doi: 10.1177/08465371221124927
21
Bahrudeen Shahul Hameed, Uma Maheswari Krishnan. Artificial Intelligence-Driven Diagnosis of Pancreatic CancerCancers 2022; 14(21): 5382 doi: 10.3390/cancers14215382