Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer

doi:10.4251/wjgo.120437

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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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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Gastrointest Oncol. Jul 15, 2026; 18(7): 120437
Published online Jul 15, 2026. doi: 10.4251/wjgo.120437

Table 4 Confusion matrices (T staging)

Gold standard	T1 (n = 22)	T2 (n = 43)	T3 (n = 75)	T4 (n = 30)	Total
Prediction model
T1	19	5	4	1	29
T2	0	37	7	1	45
T3	2	0	61	0	63
T4	1	1	3	28	33
Total	22	43	75	30	170
Accuracy (%)	86.4	86.0	81.3	93.3

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Citation: Zhao J, Du LJ, Liu Y, Zhu DD, Wang HQ, Shen MK, Wang LY, Wang HY. Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer. World J Gastrointest Oncol 2026; 18(7): 120437
URL: https://www.wjgnet.com/1948-5204/full/v18/i7/120437.htm
DOI: https://dx.doi.org/10.4251/wjgo.120437

Zhao J, Du LJ, Liu Y, Zhu DD, Wang HQ, Shen MK, Wang LY, Wang HY. Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer. World J Gastrointest Oncol 2026; 18(7): 120437 [DOI: 10.4251/wjgo.120437]

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