Breast Cancer Diagnosis with Machine Learning

Dataset

Authors:

• Tim Hsieh
• Tommy James
• Suhuan Pan
• Carlo Golfo
• Gargi Bhise
• Siddharth Kekre

Welcome to our project conducted at California Polytechnic State University, where we leverage machine learning for early breast cancer detection through image classification.

Models Explored:

• Support Vector Machines
• K-Nearest Neighbors
• Decision Trees
• Naive Bayes
• Neural Networks
  • Neural Networks using TensorFlow
  • Neural Networks using PyTorch

Our study, using the Breast Cancer Wisconsin dataset, focuses on minimizing false negatives, potentially revolutionizing breast cancer diagnostics and improving diagnostic accuracy.