Project: Predicting ratio of cancerous cells in breast tissue images

This project was completed during the Lviv Data Science Summer School 2016. The project supervisor – Dmytro Fishman. The project goal was to apply state of the art machine learning and image processing methods for distinguishing between cancerous and normal cells based on images of breast tissue. The ultimate goal of the project is to predict a ratio of cancerous cells to normal cells and compare it to doctors estimates.


If you are interested in more details, please contact [email protected]