Research Article
[Retracted] Design of Optimal Deep Learning-Based Pancreatic Tumor and Nontumor Classification Model Using Computed Tomography Scans
Table 5
Comparative analysis of ODL-PTNTC technique with existing approaches.
| Methods | Sensitivity | Specificity | Accuracy |
| ODL-PTNTC | 98.73 | 97.75 | 98.40 | DS-WELM | 97.76 | 97.67 | 97.26 | DS-KELM | 96.66 | 97.53 | 96.69 | DS-ELM | 96.27 | 97.27 | 96.21 | CNN-10 × 10 | 80.50 | 81.80 | 81.60 | CNN-30 × 30 | 88.10 | 85.40 | 85.90 | CNN-50 × 50 | 91.10 | 86.50 | 87.30 | CNN-70 × 70 | 91.50 | 86.70 | 87.40 | EEDL-DPT | 61.95 | 90.20 | 82.70 | DL-HCNN | 97.66 | 96.12 | 96.89 | CNN-CTPCD | 91.58 | 98.27 | 95.47 |
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