https://www.selleckchem.com/pr....oducts/z-devd-fmk.ht
One-way analysis of variance and χ tests of independent samples were used to analyze the variables. The experimental results demonstrated that the model had a 60.4% overall accuracy, a 61.7% average accuracy, and a macro-average AUC of 0.82. The AUCs for ccRCC, chRCC, AML, and pRCC were 0.94, 0.78, 0.80, and 0.76, respectively. Deep CNN model based on T2-weighted fat saturation sequence MR images was useful to classify the subtypes of renal parenchymal tumors with a relatively high diagnostic accuracy. Deep CNN model based on T2-weig
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