For: | Azer SA. Deep learning with convolutional neural networks for identification of liver masses and hepatocellular carcinoma: A systematic review. World J Gastrointest Oncol 2019; 11(12): 1218-1230 [PMID: 31908726 DOI: 10.4251/wjgo.v11.i12.1218] |
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URL: | https://www.wjgnet.com/1948-5204/full/v11/i12/1218.htm |
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Nelson S Yee. Machine intelligence for precision oncology. World Journal of Translational Medicine 2021; 9(1): 1-10 doi: 10.5528/wjtm.v9.i1.1
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George E Fowler, Rhiannon C Macefield, Conor Hardacre, Mark P Callaway, Neil J Smart, Natalie S Blencowe. Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of the abdominopelvic cavity: a protocol for a systematic review. BMJ Open 2021; 11(10): e054411 doi: 10.1136/bmjopen-2021-054411
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Joseph C Ahn, Touseef Ahmad Qureshi, Amit G Singal, Debiao Li, Ju-Dong Yang. Deep learning in hepatocellular carcinoma: Current status and future perspectives. World Journal of Hepatology 2021; 13(12): 2039-2051 doi: 10.4254/wjh.v13.i12.2039
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Yuxiang Wang, Zhongming Huang. High precision detection of small hepatocellular carcinoma using improved EfficientNet with Self-Attention. 2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS) 2022; : 76 doi: 10.1109/ICIS54925.2022.9882470
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