mayurasandakalum/breast-cancer-detection
Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.
This project helps medical researchers and data scientists classify breast cancer tumors as either benign or malignant. It takes features extracted from breast cancer cell images as input and outputs a prediction of the tumor type. The project aids in understanding which characteristics are most indicative of malignancy.
No commits in the last 6 months.
Use this if you are a medical researcher or data scientist needing to automatically classify breast cancer tumors based on cell image features for research or diagnostic support.
Not ideal if you need a clinical-grade, certified diagnostic tool for direct patient care, as this is a research-oriented machine learning project.
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Last pushed
Jul 30, 2024
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