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©The Author(s) 2025.
World J Gastrointest Oncol. May 15, 2025; 17(5): 106103
Published online May 15, 2025. doi: 10.4251/wjgo.v17.i5.106103
Published online May 15, 2025. doi: 10.4251/wjgo.v17.i5.106103
Figure 4 The loss values of different deep learning models in the training set can vary with different iterations.
The horizontal axis represents Iters, and the vertical axis does not represent the specific loss value. For the sake of presentation, we have applied translation and stretching to different curves.
- Citation: Zhou C, Zhang YF, Yang ZJ, Huang YQ, Da MX. Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer. World J Gastrointest Oncol 2025; 17(5): 106103
- URL: https://www.wjgnet.com/1948-5204/full/v17/i5/106103.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v17.i5.106103