Copyright
©The Author(s) 2022.
Artif Intell Gastroenterol. Apr 28, 2022; 3(2): 36-45
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.36
Published online Apr 28, 2022. doi: 10.35712/aig.v3.i2.36
S. No | Modality used | Primary aim of study | AI method used | Ref. |
1 | CEUS | To differentiate glioblastoma from normal tissue | Support vector machines | Ritschel et al[75], 2015 |
2 | OCT | To distinguish parathyroid tissue from thyroid, lymph node, and adipose tissue | Texture feature analysis and back propagation artificial neural network | Hou et al[76], 2017 |
3 | CLE | Normal colonic mucosa from malignant lesion | Fractal analysis and neural network modelling | Ştefănescu et al[77], 2016 |
4 | Hyperspectral imaging | Differentiation of colonic carcinoma from adenoma and healthy mucosa | Artificial neural network | Jansen-Winkeln et al[72], 2021 |
- Citation: Ghosh NK, Kumar A. Colorectal cancer: Artificial intelligence and its role in surgical decision making. Artif Intell Gastroenterol 2022; 3(2): 36-45
- URL: https://www.wjgnet.com/2644-3236/full/v3/i2/36.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i2.36