https://www.selleckchem.com/pr....oducts/Gefitinib.htm
33%. 3-, 4-, and 5-fold cross-validation of the prediction accuracy of the support vector machine model is 77.79%~81.94%. Conclusion The pathological grading of IDC can be predicted and evaluated by texture analysis and feature extraction of breast tumors. This method can provide much valuable information for doctors' clinical diagnosis. With further development, the model demonstrates high potential for practical clinical use. Copyright © 2020 Gaoteng Yuan et al.The purpose of this study is the application of pressure sensors in diag
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