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Cited by in CrossRef
For: Zhang RY, Qiang PP, Cai LJ, Li T, Qin Y, Zhang Y, Zhao YQ, Wang JP. Automatic detection of small bowel lesions with different bleeding risks based on deep learning models. World J Gastroenterol 2024; 30(2): 170-183 [PMID: 38312122 DOI: 10.3748/wjg.v30.i2.170]
URL: https://www.wjgnet.com/1007-9327/full/v30/i2/170.htm
Number Citing Articles
1
Silvia Cocca, Giuseppina Pontillo, Giuseppe Grande, Rita Conigliaro. Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forwardWorld Journal of Gastroenterology 2024; 30(18): 2482-2484 doi: 10.3748/wjg.v30.i18.2482
2
Wenli He, Lina He. Study of Automatic Diagnostic Algorithms for Small Bowel Lesions in Capsule Endoscopic ImagesProceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms 2024; : 890 doi: 10.1145/3690407.3690555