Computed tomography 3D reconstruction and texture analysis for evaluating the efficacy of neoadjuvant chemotherapy in advanced gastric cancer

Table 3 Misjudgment rate of predicting the efficacy of neoadjuvant chemotherapy for gastric cancer using different texture feature selection and classification analysis methods in computed tomography images

Discrimination methods	RDA misclassification rate (%)	PCA misclassification rate (%)	LDA misclassification rate (%)	NDA misclassification rate (%)
Venous phase
Fisher	21.86	18.45	14.92	11.53
POE + ACC	19.75	16.82	13.45	9.86
MI	18.32	15.46	11.85	8.92
FPN	17.53	14.25	10.63	7.85
Arterial phase
Fisher	25.92	22.85	19.46	16.85
POE + ACC	24.53	21.46	18.25	15.42
MI	22.85	19.75	16.92	14.53
FPN	21.46	18.53	15.86	13.92

RDA: Raw data analysis; PCA: Principal component analysis; LDA: Linear discriminant analysis; NDA: Nonlinear discriminant analysis; POE+ACC: Probability of error plus average correlation coefficient; MI: Mutual information; FPN: False positive nodule.