Retrospective Study
Copyright ©The Author(s) 2022.
World J Gastrointest Endosc. May 16, 2022; 14(5): 311-319
Published online May 16, 2022. doi: 10.4253/wjge.v14.i5.311
Figure 2
Figure 2 Methodological design of the study. The proposed workflow encompasses selective collection of endoscopic images from the datasets, splitting and pre-processing of the data, iterative training of the classificatory model, and finally evaluation of its performance. DCNN: Dense convolutional neural network.