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Image Search Results
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
Techniques:
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
Techniques:
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
Techniques:
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
Techniques:
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
Techniques: Biomarker Discovery
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
Techniques: Biomarker Discovery
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
Techniques:
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
Techniques:
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
Techniques: Comparison