Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision

doi:10.3748/wjg.121592

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World Journal of Gastroenterology

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1007-9327

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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 Gastroenterol. Aug 14, 2026; 32(30): 121592
Published online Aug 14, 2026. doi: 10.3748/wjg.121592

Table 5 False positive analysis in junior surgeon and deep learning model, n (%)

Classification of false positive recognition	Junior surgeon	DL model	Reduction of false positives
Cord-like fibrous tissue	18	9	9 (50)
Vascular-related structure	14	6	8 (57.14)
Fat-related structure	11	5	6 (54.55)
Peritoneal incision and mesenteric tissue	9	3	6 (66.67)
Surgery-related artifact	8	2	6 (75)
Sum	60	25	35 (58.33)

DL: Deep learning.

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Citation: Zhang Q, Li J, Meng T, Chen ZF, Zhou XZ, Lu XR. Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision. World J Gastroenterol 2026; 32(30): 121592
URL: https://www.wjgnet.com/1007-9327/full/v32/i30/121592.htm
DOI: https://dx.doi.org/10.3748/wjg.121592

Zhang Q, Li J, Meng T, Chen ZF, Zhou XZ, Lu XR. Deep-learning-based object detection of pelvic autonomic nerves during total mesorectal excision. World J Gastroenterol 2026; 32(30): 121592 [DOI: 10.3748/wjg.121592]

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