web app to detect the breast cancer in real time
Breast cancer is the most common cause of death among women in the entire world and the second cause of death after lung cancer.The use of automatic breast cancer detection and classification might possibly enhance the survival rate of the patients through starting early treatment. This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features are extracted using the pre-trained CNN.
- streamlit==0.79.0
- tensorflow==2.4.0
- numpy==1.21.2
- Pillow==8.4.0
we collect the data from Kaggle dataset
| version | traning accuracy | test accuracy | f1 score | recall | precision | Total Parameters |
|---|---|---|---|---|---|---|
| ROI version | 0.96 | 0.91 | 0.91 | 0.92 | 0.92 | 22,665,282 |
| Whole Image version | 0.96 | 0.96 | 0.97 | 0.95 | 0.98 | 47,929,410 |
 Aya Shehata contributer |  omnia emam contributer |
 Kareem Negm Mentor |