|
--- |
|
license: gpl-3.0 |
|
datasets: |
|
- AiresPucrs/breast-cancer-wisconsin |
|
language: |
|
- en |
|
metrics: |
|
- accuracy |
|
library_name: keras |
|
pipeline_tag: text-classification |
|
tags: |
|
- medical |
|
--- |
|
|
|
# Breast Cancer Wisconsin v1.0 Model Card |
|
|
|
Abstract: This study explores the application of artificial intelligence (AI) in detecting breast cancer using the Wisconsin Breast Cancer dataset. Machine learning algorithms are trained on clinical and diagnostic features extracted from breast tissue samples to classify them as benign or malignant. Results demonstrate the effectiveness of AI-based approaches in accurately identifying breast cancer, offering potential improvements in early detection and treatment outcomes. |
|
|
|
Keywords: Breast Cancer, Artificial Intelligence, Machine Learning, Diagnosis |
|
|
|
![examples](https://huggingface.co/anezatra/breast-cancer-wisconsin/raw/main/img.jpg) |
|
|
|
Developed By Anezatra Katedram |