File size: 897 Bytes
5eae0be ad58892 a6a1cc1 918cea3 a6a1cc1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
---
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
Developed By Anezatra Katedram |