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Proposed deep visual detection system using ResNet50 for binary classification on the Kaggle 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: Proposed deep visual detection system using ResNet50 for binary classification on the Kaggle OSCC dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Proposed deep visual detection system using ResNet50 for multiclass classification on the Kaggle 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: Proposed deep visual detection system using ResNet50 for multiclass classification on the Kaggle OSCC dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Key Hyperparameters of the ResNet50 model (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: Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Key Hyperparameters of the ResNet50 model (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: Key Hyperparameters of the ResNet50 model (NDB-UFES Multiclass OSCC Dataset).

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Training and validation loss & accuracy curve—ResNet50 (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—ResNet50 (Epochs = 10, Batch Size = 64) Kaggle binary class OSCC Dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques: Biomarker Discovery

Training and validation loss & accuracy curve—ResNet50 (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—ResNet50 (Epochs = 20, Batch Size = 64) NDB-UFES multiclass OSCC dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques: Biomarker Discovery

Confusion matrix of ResNet50 Model (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: Confusion matrix of ResNet50 Model (Epochs = 10, Batch Size = 64) — Kaggle Binary Class OSCC dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Confusion matrix of ResNet50 Model (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: Confusion matrix of ResNet50 Model (Epochs = 20, Batch Size = 64) — NDB-UFES Multiclass OSCC dataset.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques:

Performance comparison of EfficientNetB3, DenseNet121, and ResNet50 on Kaggle Binary-Class and NDB-UFES multiclass OSCC datasets.

Journal: Scientific Reports

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

doi: 10.1038/s41598-025-34332-5

Figure Lengend Snippet: Performance comparison of EfficientNetB3, DenseNet121, and ResNet50 on Kaggle Binary-Class and NDB-UFES multiclass OSCC datasets.

Article Snippet: Fig. 25 Key Hyperparameters of the ResNet50 model (Kaggle Binary Class OSCC Dataset).

Techniques: Comparison