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Editorial
. 2023 Jul;35(5):636-637.
doi: 10.1111/den.14602. Epub 2023 Jun 20.

Colorectal cancer invasion calculation, a colorectal tumor depth diagnostic artificial intelligence, is promising, but its diagnostic accuracy remains a challenge

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Editorial

Colorectal cancer invasion calculation, a colorectal tumor depth diagnostic artificial intelligence, is promising, but its diagnostic accuracy remains a challenge

Yasuhiko Mizuguchi et al. Dig Endosc. 2023 Jul.
No abstract available

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REFERENCES

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    1. Sumimoto K, Tanaka S, Shigita K et al. Clinical impact and characteristics of the narrow-band imaging magnifying endoscopic classification of colorectal tumors proposed by the Japan NBI Expert Team. Gastrointest Endosc 2017; 85: 816-21.
    1. Puig I, López-Cerón M, Arnau A et al. Accuracy of the narrow-band imaging international colorectal endoscopic classification system in identification of deep invasion in colorectal polyps. Gastroenterology 2019; 156: 75-87.
    1. Takamaru H, Stammers M, Yanagisawa F et al. Conditional inference tree models to perceive depth of invasion in T1 colorectal cancer. Surg Endosc 2022; 36: 9234-43.
    1. Lu Z, Xu Y, Yao L et al. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video). Gastrointest Endosc 2022; 95: 1186-94.

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