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breast-cancer-detection
Abdulhaque/breast-cancer-detection
breast-cancer-detection is a machine learning model from Abdulhaque. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
- Architecture: DenseNet121 + Custom Head - Task: Binary Classification (Cancer vs No Cancer) - Dataset: IDC Breast Histopathology (277,524 images) - Input Size: 96x96x3
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.keras41.9 MB · 100%
At a glance
- Library
- keras
- Access
- Public
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026
- SHA
- 8bebb722
Model card
From the Hugging Face model README
Breast Cancer Detection Model
Model Info
- Architecture: DenseNet121 + Custom Head
- Task: Binary Classification (Cancer vs No Cancer)
- Dataset: IDC Breast Histopathology (277,524 images)
- Input Size: 96x96x3
Performance
| Metric | Value |
|---|---|
| AUC-ROC | 0.9432 |
| Sensitivity | 94.64% |
| Specificity | 76.13% |
| F1 Score | 0.78 |
Usage
import tensorflow as tf
model = tf.keras.models.load_model("best_model_ft.keras")
Threshold
Use threshold 0.3 for hospital deployment (maximize sensitivity).
- Library
- keras
- Created
- Jun 21, 2026
- Updated
- Jun 21, 2026