Copyright
©The Author(s) 2021.
World J Gastroenterol. Apr 28, 2021; 27(16): 1664-1690
Published online Apr 28, 2021. doi: 10.3748/wjg.v27.i16.1664
Published online Apr 28, 2021. doi: 10.3748/wjg.v27.i16.1664
Figure 2 Artificial intelligence-assisted endoscopy, radiology, and pathology applications for medical image analysis in the fields of gastroenterology and hepatology, including detecting and evaluating lesions, facilitating treatment, and predicting treatment response and prognosis, and other potentials, using several deep learning models.
CT: Computed tomography; MRI: Magnetic resonance imaging.
- Citation: Cao JS, Lu ZY, Chen MY, Zhang B, Juengpanich S, Hu JH, Li SJ, Topatana W, Zhou XY, Feng X, Shen JL, Liu Y, Cai XJ. Artificial intelligence in gastroenterology and hepatology: Status and challenges. World J Gastroenterol 2021; 27(16): 1664-1690
- URL: https://www.wjgnet.com/1007-9327/full/v27/i16/1664.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i16.1664