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©The Author(s) 2024.
Artif Intell Med Imaging. Sep 28, 2024; 5(1): 93993
Published online Sep 28, 2024. doi: 10.35711/aimi.v5.i1.93993
Published online Sep 28, 2024. doi: 10.35711/aimi.v5.i1.93993
Figure 3 Receiver operating characteristic curves of the support vector machine, multi-layer perceptron, k-nearest neighbor and logistic regression.
A: Receiver operating characteristic (ROC) curves of arterial support vector machine (ASVM), arterial multilayer perceptron (AMLP), arterial k-nearest neighbor (AKNN) and arterial logistic regression (ALR) in the Training set; B: ROC curves of ASVM, AMLP, AKNN and ALR in the test set; C: ROC curves of VSVM, VMLP, VKNN and VLR in the Training set; D: ROC curves of VSVM, VMLP, VKNN and VLR in the test set.
- Citation: Zhao ZC, Liu JX, Sun LL. Preoperative perineural invasion in rectal cancer based on deep learning radiomics stacking nomogram: A retrospective study. Artif Intell Med Imaging 2024; 5(1): 93993
- URL: https://www.wjgnet.com/2644-3260/full/v5/i1/93993.htm
- DOI: https://dx.doi.org/10.35711/aimi.v5.i1.93993