Copyright: ©Author(s) 2026.
World J Gastroenterol. Aug 14, 2026; 32(30): 121592
Published online Aug 14, 2026. doi: 10.3748/wjg.121592
Published online Aug 14, 2026. doi: 10.3748/wjg.121592
Figure 4 Characteristics of false-positive and false-negative recognition by the deep learning model.
A-E: False-positive analysis: Cord-like fibrous tissue (A); Vascular-related structures (B); Fat-related structures (C); Peritoneal incision and mesenteric tissue (D); Surgery-related artifacts (E); F-J: False-negative analysis: Deep embedding in tissue (F); Insufficient exposure (G); Fat adhesion (H); Accompanying blood vessels (I); Bleeding (J). HN: Hypogastric nerves; PN: Pelvic nerve; IMP: Inferior mesenteric plexus; NVB: Neurovascular bundle.
- 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