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emergentai
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cancer-efficientnetb7-undersampling

Image Classification
Keras
medical
cervical-cancer
histopathology
undersampling
Model card Files
xet
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Beijuka commited on
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Update README.md

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@@ -103,7 +103,7 @@ model = keras.models.load_model(model_path)
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  * Epochs: 50 (initial), 20 (fine-tuning)
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  * EarlyStopping and ModelCheckpoint callbacks used.
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- ### Data Splits
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  * **Training:** 128 images (70 Negative, 29 Positive Post-stained, 29 Positive Pre-stained)
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  * **Validation:** 37 images (20 Negative, 8 Positive Post-stained, 9 Positive Pre-stained)
 
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  * Epochs: 50 (initial), 20 (fine-tuning)
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  * EarlyStopping and ModelCheckpoint callbacks used.
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+ ### Data Splits (70:20:10)
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  * **Training:** 128 images (70 Negative, 29 Positive Post-stained, 29 Positive Pre-stained)
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  * **Validation:** 37 images (20 Negative, 8 Positive Post-stained, 9 Positive Pre-stained)