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Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Journal: Scientific Reports

Article Title: Deep visual detection system for oral squamous cell carcinoma

doi: 10.1038/s41598-025-34332-5

Figure Lengend Snippet: Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Article Snippet: Fig. 21 Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Techniques: Biomarker Discovery

Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) NDB-UFES Multiclass OSCC Dataset.

Journal: Scientific Reports

Article Title: Deep visual detection system for oral squamous cell carcinoma

doi: 10.1038/s41598-025-34332-5

Figure Lengend Snippet: Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) NDB-UFES Multiclass OSCC Dataset.

Article Snippet: Fig. 21 Training and validation loss & accuracy curve—DenseNet121 (Epochs = 20, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Techniques: Biomarker Discovery

Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 10, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Journal: Scientific Reports

Article Title: Deep visual detection system for oral squamous cell carcinoma

doi: 10.1038/s41598-025-34332-5

Figure Lengend Snippet: Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 10, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Article Snippet: Fig. 15 Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 10, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Techniques: Biomarker Discovery

Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 20, Batch Size = 32) NDB-UFES Multiclass OSCC Dataset.

Journal: Scientific Reports

Article Title: Deep visual detection system for oral squamous cell carcinoma

doi: 10.1038/s41598-025-34332-5

Figure Lengend Snippet: Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 20, Batch Size = 32) NDB-UFES Multiclass OSCC Dataset.

Article Snippet: Fig. 15 Training and validation loss & accuracy curve—EfficientNetB3 (Epochs = 10, Batch Size = 64) Kaggle Binary Class OSCC Dataset.

Techniques: Biomarker Discovery