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Observational Study
©The Author(s) 2025.
World J Gastroenterol. Sep 14, 2025; 31(34): 108807
Published online Sep 14, 2025. doi: 10.3748/wjg.v31.i34.108807
Figure 3
Figure 3 Convolutional neural network (RandomShift) - applies random shifts to the image. RandomFlip: Performs random flipping along specified axes. MulScalar & AddScalar: Normalization steps for pixel values. Convolution: Multiple convolution layers. BatchNormalization: Normalizes activations between layers. RepeatStart & RepeatEnd: Suggests looped operations, likely for iterative feature extraction.

  • Citation: Miida S, Kamimura H, Fujiki S, Kobayashi T, Endo S, Maruyama H, Yoshida T, Watanabe Y, Kimura N, Abe H, Sakamaki A, Yokoo T, Tsukada M, Numano F, Kashimura T, Inomata T, Fuzawa Y, Hirata T, Horii Y, Ishikawa H, Nonaka H, Kamimura K, Terai S. Image analysis of cardiac hepatopathy secondary to heart failure: Machine learning vs gastroenterologists and radiologists. World J Gastroenterol 2025; 31(34): 108807
  • URL: https://www.wjgnet.com/1007-9327/full/v31/i34/108807.htm
  • DOI: https://dx.doi.org/10.3748/wjg.v31.i34.108807

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