Table 8 Training, validating, and testing phases of proposed CNN model
From: A hybrid deep CNN model for brain tumor image multi-classification
Dataset Split-Up | Training, Validation, and Testing Modes | |||||
|---|---|---|---|---|---|---|
Classification | No. of Images in the Group | Total No. of Images | Training Mode (60%) | Validation Mode (20%) | Test Mode (20%) | |
Task | Group | |||||
I | Malignant | 1743 | 3165 | 1899 | 633 | 633 |
Non-malignant | 1422 | |||||
II | Benign | 910 | 4195 | 2517 | 839 | 839 |
Glioma | 985 | |||||
Meningioma | 750 | |||||
Pituitary | 750 | |||||
Metastatic | 800 | |||||
III | G-II | 1712 | 4720 | 2832 | 944 | 944 |
G-III | 1296 | |||||
G-IV | 1712 | |||||