
What We Do
The aim of the project: To develop an intelligent breast cancer diagnosis system. The works proposed include
- 1. classification and the development of a repository of thermograms, medical conditions, lifestyles, dietary, genetic information along with other cancer development symptoms;
- 2. development of technologies that apply machine learning and deep learning techniques to data mine the repository to predict the early development of the cancerous tumor inside the breast.
- 3. combination of machine learning with inverse thermal modeling to extract patient-specific tissue parameters for machine learning and find tumor sizes and locations for precision diagnosis.
