| language: en | |
| license: mit | |
| tags: | |
| - image-classification | |
| - pytorch | |
| - computer-vision | |
| - breast-cancer | |
| summary: "A PyTorch model for breast cancer diagnosis using image classification." | |
| # My Awesome Breast Cancer Model | |
| This repository contains a trained model for breast cancer diagnosis. The model is built using PyTorch and is capable of classifying images into benign or malignant categories. | |
| ## Usage | |
| ```python | |
| # Example usage of your model | |
| from transformers import pipeline | |
| classifier = pipeline("image-classification", "Atimz/FINALWORKCODE26") | |
| classifier("path/to/your/image.jpg") | |
| ``` | |
| ## Dataset | |
| The model was trained on the breast-cancer-dataset, available from various public sources. Preprocessing steps included... | |
| ## Evaluation | |
| Performance metrics for the model are: | |
| - Accuracy: 0.93 | |
| - F1-Score: 0.91 | |
| - ROC AUC: 0.92 | |
| Further details can be found in the notebook. | |