Integrating Physic-Informed Neural Network, Bayesian and Convolutional Neural Network

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.