Breast Cancer Diagnostics

Currently, breast cancer is a rising concern throughout the world. In order to prevent mortality from the disease, a key deciding factor is being able to diagnose the malignancy state of the breast as early as possible. To help doctors be able to diagnose more effectively, we created an application that is able to diagnose the state of the input data of the breast with minimal error. Our application employed a form of artificial intelligence, specifically neural networks, to be able to diagnose correctly the malignancy state of the breast. We trained our neural networks so that they could recognize numerical data from fine needle aspirations as well as image data from mammographies. We implemented this into our diagnostic tool, the application, making it not only extremely effective but also useful on many different levels.

Built With

• web
• windows
• windows-phone