Table 13 Summary of proposed and validation results.

From: Fusion of classical and deep learning features with incremental learning for improved classification of lung and colon cancer

Dataset

Accuracy (%)

Precision (%)

Recall (%)

F1-Score (%)

Kappa score

LC25000 (Proposed)

99.87

99.99

99.99

99.99

0.998

NCT-CRC-HE-100K

99.07

99.33

99.33

99.07

0.9883

HMU-GC-HE-30K

98.4

98.42

98.4

98.41

0.98

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