Table 11 Validation performance on the HMU-GC-HE-30K Dataset.

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

Class

Precision

Recall

F1-Score

Support

01_TUMOR

1

0.9733

0.9865

150

02_STROMA

1

0.9867

0.9933

150

03_COMPLEX

0.961

0.9867

0.9737

150

04_LYMPHO

1

1

1

150

05_DEBRIS

0.9605

0.9733

0.9669

150

Accuracy

–

–

0.984

750

Macro Avg

0.9843

0.984

0.9841

750

Weighted Avg

0.9843

0.984

0.9841

750

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