A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn’s disease-Reference-Cited by-同舟云学术

A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn’s disease

Published:2024-05-04 Issue:7 Volume:49 Page:2187-2197
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Lu Baolan,Huang Zengan,Lin Jinjiang,Zhang Ruonan,Shen Xiaodi,Huang Lili,Wang Xinyue,He Weitao,Huang Qiapeng,Fang Jiayu,Mao Ren,Li Zhoulei,Huang Bingsheng,Feng Shi-Ting,Ye Ziying,Zhang Jian,Wang Yangdi

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-024-04307-7.pdf

Reference28 articles.

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4. Acharya, B., A. Acharya, S. Gautam, et al., Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis. Mol Biol Rep, 2020. 47(5): p. 4065-4075.

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