List All Projects List Graduate Projects List Senior Design Projects List REU Projects Other Undergraduate Projects
Project # 5
Breast Cancer Dataset, Classification and Detection Using Machine Learning
| Team Lead: | Atusa Javaheri |
| Other Team Members: | |
| Faculty Advisor(s): | Dr. Aera Kim LeBoulluec |
| Department: | IMSE |
| Project Type: | Graduate Student |
| Title: | Breast Cancer Dataset, Classification and Detection Using Machine Learning |
| Abstract: | Breast cancer is one of the most prevalent and life-threatening diseases worldwide, making early detection crucial for improving survival rates. This study explores the classification and detection of breast cancer using machine learning techniques. Using the breast cancer dataset, various supervised learning algorithms are applied to distinguish between benign and malignant cases. Model performance is evaluated using accuracy, precision, recall, and F1-score to determine the most effective approach. The results highlight the potential of machine learning in enhancing diagnostic accuracy and aiding early detection efforts in breast cancer screening. |
| Poster: | View Poster #5 (PDF) |
| Judges Scoring: | Submit Evaluation (judges only) |