metadata
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
# 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.