Multicenter deep learning model for pancreatic cancer detection using endoscopic ultrasound

doi:10.4251/wjgo.119889

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Sep 15, 2026; 18(9): 119889
Published online Sep 15, 2026. doi: 10.4251/wjgo.119889

Table 2 Dual-center energy statistics for the two hospitals

Center	Mean	SD	Min	Max
Center A_0	0.061474	0.056234	0.008741	0.559571
Center A_1	0.047896	0.040044	0.009132	0.320019
Center B_0	0.021291	0.009237	0.007514	0.047186
Center B_1	0.023628	0.017217	0.009367	0.120883

Center A: Training data; Center B: External validation data; 0: Cancer category; 1: Noncancer category. Min: Minimum; Max: Maximum.

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Citation: Yu XY, Ye JQ, He Z, He Q. Multicenter deep learning model for pancreatic cancer detection using endoscopic ultrasound. World J Gastrointest Oncol 2026; 18(9): 119889
URL: https://www.wjgnet.com/1948-5204/full/v18/i9/119889.htm
DOI: https://dx.doi.org/10.4251/wjgo.119889

Yu XY, Ye JQ, He Z, He Q. Multicenter deep learning model for pancreatic cancer detection using endoscopic ultrasound. World J Gastrointest Oncol 2026; 18(9): 119889 [DOI: 10.4251/wjgo.119889]

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