Project Name
Building a Cooperative A.I. Pathology Analysis Platform
Project Goal
*AI for digital pathology image analysis provides the pathway to achieve personal precision medicine
*Pathology image analysis encounters the problems of high labeling cost and image properties drift in different hospitals
*This project aims to build a FL-based collaborative training platform embedded with techniques to resolve the aforementioned problems
Project Description
1.Robust Deep Learning
*Learning against data distribution shift
*Optimized learning based on inaccurate data
*Explainable AI model
2.Self-learning image detection
*Continuous learning for object detection
*Continuous learning based on self-annotation data
3.Less-annotation learning
*Semi-supervised learning
* Weakly supervised learning
4.Open AI Pathology Platform
*Data dynamic agreement
*Data governance and model sharing mechanism