Table 3 Comparative analysis of DCNNCDM-IUP technique with recent models48.
Methods | \( Prec_{n} \) | \( Reca_{l} \) | \( Accu_{y} \) | \( F_{{Score}} \) |
|---|---|---|---|---|
BoW-SRP | 68.33 | 67.85 | 80.40 | 67.88 |
Bow-LBP | 74.68 | 74.15 | 84.04 | 74.35 |
GLCM-SVM | 75.47 | 73.52 | 79.78 | 87.99 |
GoogleNet model | 82.98 | 85.26 | 84.40 | 81.00 |
VGGNet classifier | 86.14 | 82.78 | 84.75 | 84.95 |
MDTL-ICDDC | 92.90 | 92.90 | 96.45 | 92.87 |
AICDA-SSC | 94.93 | 94.90 | 97.45 | 94.88 |
DCNNCDM-IUP | 96.82 | 96.80 | 98.40 | 96.79 |
