Читать книгу The Internet of Medical Things (IoMT) - Группа авторов - Страница 4

1 Chapter 1Table 1.1 Physiochemical characters of EGFR, K-ras, and TP53 proteins as determi...Table 1.2 The number disulfide bonds were quantitated by Cys_Rec prediction prog...Table 1.3 Secondary structure of the EGFR, K-ras oncogene protein, and TP53.Table 1.4 Composition of α-helix EGFR, K-ras oncogene protein, and TP53.Table 1.5 Validation of the EGFR, K-ras oncogene protein, and TP53.Table 1.6 Predicted active sites of the EGFR, K-ras oncogene protein, and TP53.Table 1.7 Docking result of the EGFR, K-ras oncogene protein, and TP53.

2 Chapter 3Table 3.1 Type 1 VMM Approach.Table 3.2 Type 2 VMM Approach.

3 Chapter 4Table 4.1 Various symptoms of brain tumors.Table 4.2 Sample images used for classification purpose.Table 4.3 Performance of AlexNet pre-trained network.Table 4.4 Performance of GoogleNet pre-trained network.Table 4.5 Performance of ResNet101 pre-trained network.Table 4.6 Comparison of performance metrics between AlexNet, GoogleNet, and ResN...Table 4.7 Evaluation of accuracy and processing time of pre-trained networks.

4 Chapter 6Table 6.1 Applications of deep learning networks.

5 Chapter 10Table 10.1 Blood glucose classification.Table 10.2 Blood pressure classification.Table 10.3 Symptoms and signs of diabetic types.Table 10.4 DE parameter settings.