Copyright
©The Author(s) 2020.
World J Gastroenterol. Nov 28, 2020; 26(44): 6945-6962
Published online Nov 28, 2020. doi: 10.3748/wjg.v26.i44.6945
Published online Nov 28, 2020. doi: 10.3748/wjg.v26.i44.6945
Figure 1 Classified indocyanine green curve patterns as the results of self-organizing map clustering.
The input training data set of self-organizing map network is 10000 samples and 1200 elements. The output layer is set to 5 × 5, 25 in 2 dimensions. Training was performed using the neural net clustering in MATLAB 2019. SOM: Self-organizing map.
- Citation: Park SH, Park HM, Baek KR, Ahn HM, Lee IY, Son GM. Artificial intelligence based real-time microcirculation analysis system for laparoscopic colorectal surgery. World J Gastroenterol 2020; 26(44): 6945-6962
- URL: https://www.wjgnet.com/1007-9327/full/v26/i44/6945.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i44.6945