Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework-Reference-Cited by-同舟云学术

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Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework

Published:2024-02 Issue:4 Volume:10 Page:e26559
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Lin Jiaxi^ORCID,Zhu Shiqi,Yin Minyue,Xue Hongchen,Liu Lu,Liu Xiaolin,Liu Lihe,Xu Chunfang,Zhu Jinzhou^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference19 articles.

1. A primer on artificial intelligence and its application to endoscopy;Chahal;Gastrointest. Endosc.,2020

2. Artificial intelligence and deep learning for upper gastrointestinal neoplasia;Sharma;Gastroenterology,2022

3. High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network;Lo;Am. J. Gastroenterol.,2022

4. Comprehensive review of publicly available colonoscopic imaging databases for artificial intelligence research: availability, accessibility, and usability;Houwen;Gastrointest. Endosc.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New diagnostic strategies to distinguish Crohn's disease and gastrointestinal tuberculosis;Current Opinion in Infectious Diseases;2024-08-06

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