Copyright
©The Author(s) 2021.
World J Gastroenterol. Jun 7, 2021; 27(21): 2681-2709
Published online Jun 7, 2021. doi: 10.3748/wjg.v27.i21.2681
Published online Jun 7, 2021. doi: 10.3748/wjg.v27.i21.2681
Figure 1 In the 1980s, the rapid progress of artificial neural network algorithms boosted a modern revolution.
ANN: Artificial neural network; BPNN: Back propagation neural network; CNN: Convolutional neural network.
Figure 2
Structure of an artificial neural network.
Figure 3 Artificial neural networks might have remarkable potential in diagnosis and treatment of gastrointestinal diseases.
ANN: Artificial neural networks; GI: Gastrointestinal; CT: Computed tomography; MRI: Magnetic resonance imaging; IHC: Immunohistochemistry; WCE: Wireless capsule endoscopy; H&E: Haematoxylin-eosin.
- Citation: Cao B, Zhang KC, Wei B, Chen L. Status quo and future prospects of artificial neural network from the perspective of gastroenterologists. World J Gastroenterol 2021; 27(21): 2681-2709
- URL: https://www.wjgnet.com/1007-9327/full/v27/i21/2681.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i21.2681